Post on 23-Jan-2020
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ROMANIAJUDETUL PRAHOVA
_ PRIMARIA ORASULUI BREAZA__
ORAS BREAZA, Str.Republicii, nr.82B;Cod fiscal:2845486;Telefon: 0244 340 508; 0244 341 460; Fax: 0244 340 428
e-mail:primariabreaza@yahoo.comweb site:www.primariabreaza.ro
Incepand cu anul 2008, Primaria orasului Breaza a derulat Proiectul „Retirement-a sense of purpose trogh an intercultural dialogue”, in cadrul Programului national- „Invatare pe tot parcursul vietii”, in parteneriat cu patru state europene, respectiv Cipru, Italia si Lituania si Tara Galilor.
Obiectivul principal al acestui proiect este promovarea dialogului intercultural, ce cuprinde actiuni de promovare si transmitere a traditiilor de la o generatie la alta.
Fiecare stat partener , pe parcursul derularii proiectului va realiza o carte cu CD in limba engleza si in limba materna a celor 4 state partenere,pe diverse teme, cum ar fi:mestesuguri traditionale, arta culinara,mituri locale si cantece traditionale.
In vederea identificarii nevoilor persoanelor varstnice, in cadrul proiectului a fost aplicat chestionarul, al carui rezultat il redam mai jos.
CrosstabsCase Processing Summary
266 100.0% 0 .0% 266 100.0%266 100.0% 0 .0% 266 100.0%266 100.0% 0 .0% 266 100.0%266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
266 100.0% 0 .0% 266 100.0%
Gender * CountryGender * AgeGender * NationalityGender * StudiesGender * LivingconditionsGender * With whom doyou live?Gender * Are you inemployment?Gender * Did you workbefore your retirement?Gender * Every day Iattend a place of worshipand then go homeGender * Every day I stayat homeGender * Every day I visitmy children/ relatives/friendsGender * Every day I visit /Restaurants /entertainmentGender * I am givenassistance and supportbyGender * I need help withshoppingGender * I need help withcleaningGender * I need help withcleaning my houseGender * I need help withpersonal care (bathroom,toilet,...)Gender * I need help withnursing careGender * I need help toarrange my personalaffairs (bank, servises)Gender * I need help withtransport to doctor or tohospitalGender * I need help withlonliness (I needcompany)Gender * I need help totake care about my petGender * I feel lonelyGender * I am satisfiedwith my lifeGender * I feel that myfamily cares about meGender * Is there aVoluntary Organisation forsupport for Elder peoplein your city?Gender * Are youinterested in developingof the idea to establish aCentre for Elder people?Gender * Are thereenough opportunities forentertainment andparticipating in activities inyour area?Gender * A centre forolder people I would liketo offer to me a betterhealth careGender * A centre forolder people I would liketo offer to melectures/presentationsrelated to popularinterestsGender * A centre forolder people I would liketo offer to me visits/tripsGender * A centre forolder people I would liketo offer to meentertainmentopportunitiesGender * A centre forolder people I would liketo offer to meopportunities forincreasing activitiesGender * A centre forolder people I would liketo offer to me foodGender * Elderly peopledon't need lectures,theatrical plays and trips,they only need caring andfood.Gender * Young peopleneed good companymore than elderly people.Gender * People, in spiteof their age, want to learnand be active.Gender * Elderly peoplecan enjoy life as youngerpeople do.Gender * I would likecomputer lessonsGender * I would likecooking lessonsGender * I would likedancing lessonsGender * I would like artand crafts lessonsGender * I would likepottery lessonsGender * I would likeforeing languageslessonsGender * I would like mycountries' language forforeignersGender * I would likegymnastics lessonsGender * I would likefashion-embroiderylessonsGender * I would likediscussion on a variety oftopicsGender * To participate ina team to publish a bookwith traditional recipesGender * To participate ina team to publish a bookwith traditional myths andstoriesGender * To participate ina team to publish a bookwith old pictures from ourcity or townGender * To participate ina team to publish a touristguide about our city ortownGender * To participate ina team to publish a bookwith traditional songs
N Percent N Percent N PercentValid Missing Total
Cases
Gender * CountryCrosstab
Count
29 27 19 8 8371 69 24 19 183
100 96 43 27 266
MaleFemale
Gender
Total
Cyprus Lithuania Romania WalesCountry
Total
Chi-Square Tests
4.057a 3 .2553.874 3 .275
.890 1 .346
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 8.42.
a.
Symmetric Measures
.124 .255
.124 .255266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
80
60
40
20
0
Country
Cyprus
Lithuania
Romania
Wales
Gender * AgeCrosstab
Count
13 31 31 8 8360 55 40 28 18373 86 71 36 266
MaleFemale
Gender
Total
50-59 60-69 70-79 80+Age
Total
Chi-Square Tests
13.528a 3 .00413.968 3 .003
2.545 1 .111
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 11.23.
a.
Symmetric Measures
.226 .004
.226 .004266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
70
60
50
40
30
20
10
0
Age
50-59
60-69
70-79
80+
Gender * NationalityCrosstab
Count
78 5 83171 12 183249 17 266
MaleFemale
Gender
Total
Local OtherNationality
Total
Chi-Square Tests
.027b 1 .869
.000 1 1.000
.027 1 .8681.000 .554
.027 1 .869
266
Pearson Chi-SquareContinuity Correctiona
Likelihood RatioFisher's Exact TestLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
Exact Sig.(1-sided)
Computed only for a 2x2 tablea.
0 cells (.0%) have expected count less than 5. The minimum expected count is5.30.
b.
Symmetric Measures
.010 .869
.010 .869266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
200
100
0
Nationality
Local
Other
Gender * StudiesCrosstab
Count
0 13 23 22 15 10 832 38 50 42 32 19 1832 51 73 64 47 29 266
MaleFemale
Gender
Total
Missing
I only studiedfew classes in
PrimarySchool
I graduatedfrom Primary
School
I graduatedfrom
SecondarySchool
I graduatedfrom Lyceum
(Higherschool) (FE)
I graduatedfrom
college/university (HE)
Studies
Total
Chi-Square Tests
2.142a 5 .8292.753 5 .738
1.197 1 .274
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
2 cells (16.7%) have expected count less than 5. Theminimum expected count is .62.
a.
Symmetric Measures
.090 .829
.090 .829266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
60
50
40
30
20
10
0
Studies
Missing
I only studied few c
lasses in Primary Sc
I graduated from Pri
mary School
I graduated from Sec
ondary School
I graduated from Lyc
eum (Higher school)
I graduated from col
lege/university (HE)
Gender * Living conditionsCrosstab
Count
1 21 61 0 833 71 108 1 1834 92 169 1 266
MaleFemale
Gender
Total
Missing Yes No 3.00Living conditions
Total
Chi-Square Tests
5.416a 3 .1445.844 3 .119
2.865 1 .091
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
4 cells (50.0%) have expected count less than 5. Theminimum expected count is .31.
a.
Symmetric Measures
.143 .144
.143 .144266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
Living conditions
Missing
Yes
No
3.00
Gender * With whom do you live?Crosstab
Count
19 42 5 15 2 8356 63 30 27 7 18375 105 35 42 9 266
MaleFemale
Gender
Total
Missing
With myhusband/wife/partner
With mychildren
With myhusband/wife/partner andmy children
With otherpeople
With whom do you live?
Total
Chi-Square Tests
10.391a 4 .03411.003 4 .027
.371 1 .542
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
1 cells (10.0%) have expected count less than 5. Theminimum expected count is 2.81.
a.
Symmetric Measures
.198 .034
.198 .034266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
70
60
50
40
30
20
10
0
With whom do you liv
Missing
With my husband/w ife
/partner
With my children
With my husband/w ife
/partner and my chil
With other people
Gender * Are you in employment?Crosstab
Count
0 16 67 834 40 139 1834 56 206 266
MaleFemale
Gender
Total
Missing Yes NoAre you in employment?
Total
Chi-Square Tests
2.162a 2 .3393.342 2 .188
1.931 1 .165
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
2 cells (33.3%) have expected count less than 5. Theminimum expected count is 1.25.
a.
Symmetric Measures
.090 .339
.090 .339266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
160
140
120
100
80
60
40
20
0
Are you in employmen
Missing
Yes
No
Gender * Did you work before your retirement?Crosstab
Count
13 61 9 8332 112 39 18345 173 48 266
MaleFemale
Gender
Total
Missing Yes No
Did you work before yourretirement?
Total
Chi-Square Tests
4.906a 2 .0865.221 2 .074
.089 1 .765
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 14.04.
a.
Symmetric Measures
.136 .086
.136 .086266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
Did you work before
Missing
Yes
No
Gender * Every day I attend a place of worship and then go home
Crosstab
Count
37 25 21 8378 72 33 183
115 97 54 266
MaleFemale
Gender
Total
Missing Yes No
Every day I attend a place of worshipand then go home
Total
Chi-Square Tests
2.869a 2 .2382.860 2 .239
.004 1 .950
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 16.85.
a.
Symmetric Measures
.104 .238
.104 .238266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
90
80
70
60
50
40
30
20
10
Every day I attend a
Missing
Yes
No
Gender * Every day I stay at homeCrosstab
Count
14 48 21 8348 107 28 18362 155 49 266
MaleFemale
Gender
Total
Missing Yes NoEvery day I stay at home
Total
Chi-Square Tests
5.251a 2 .0725.219 2 .074
4.092 1 .043
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 15.29.
a.
Symmetric Measures
.141 .072
.141 .072266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
Every day I stay at
Missing
Yes
No
Gender * Every day I visit my children/ relatives/ friends
Crosstab
Count
31 43 9 8349 108 26 18380 151 35 266
MaleFemale
Gender
Total
Missing Yes No
Every day I visit my children/relatives/ friends
Total
Chi-Square Tests
3.137a 2 .2083.084 2 .214
3.120 1 .077
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 10.92.
a.
Symmetric Measures
.109 .208
.109 .208266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
Every day I visit my
Missing
Yes
No
Gender * Every day I visit / Restaurants / entertainmentCrosstab
Count
39 15 29 8391 39 53 183
130 54 82 266
MaleFemale
Gender
Total
Missing Yes No
Every day I visit / Restaurants /entertainment
Total
Chi-Square Tests
1.045a 2 .5931.037 2 .595
.341 1 .560
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 16.85.
a.
Symmetric Measures
.063 .593
.063 .593266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
Every day I visit /
Missing
Yes
No
Gender * I am given assistance and support byCrosstab
Count
14 1 12 1 1 54 8332 0 22 6 2 121 18346 1 34 7 3 175 266
MaleFemale
Gender
Total
Missing .00
Localauthority
home carers
24-hoursprivate home
carers
Day carecentre for
elderly peopleI have no help
by others
I am given assistance and support by
Total
Chi-Square Tests
3.432a 5 .6343.693 5 .594
.021 1 .886
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
6 cells (50.0%) have expected count less than 5. Theminimum expected count is .31.
a.
Symmetric Measures
.114 .634
.114 .634266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
140
120
100
80
60
40
20
0
I am given assistanc
Missing
.00
Local authority home
carers
24-hours private hom
e carers
Day care centre for
elderly people
I have no help by ot
hers
Gender * I need help with shoppingCrosstab
Count
20 13 50 8343 48 92 18363 61 142 266
MaleFemale
Gender
Total
Missing Yes NoI need help with shopping
Total
Chi-Square Tests
3.852a 2 .1464.032 2 .133
.144 1 .704
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 19.03.
a.
Symmetric Measures
.120 .146
.120 .146266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I need help with sho
Missing
Yes
No
Gender * I need help with cleaningCrosstab
Count
18 18 47 8346 26 111 18364 44 158 266
MaleFemale
Gender
Total
Missing Yes NoI need help with cleaning
Total
Chi-Square Tests
2.369a 2 .3062.287 2 .319
.083 1 .773
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 13.73.
a.
Symmetric Measures
.094 .306
.094 .306266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
I need help with cle
Missing
Yes
No
Gender * I need help with cleaning my houseCrosstab
Count
18 18 47 8342 50 91 18360 68 138 266
MaleFemale
Gender
Total
Missing Yes NoI need help with cleaning my house
Total
Chi-Square Tests
1.274a 2 .5291.288 2 .525
.258 1 .612
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 18.72.
a.
Symmetric Measures
.069 .529
.069 .529266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I need help with cle
Missing
Yes
No
Gender * I need help with personal care (bathroom, toilet,...)Crosstab
Count
19 7 57 8348 19 116 18367 26 173 266
MaleFemale
Gender
Total
Missing Yes No
I need help with personal care(bathroom, toilet,...)
Total
Chi-Square Tests
.720a 2 .698
.728 2 .695
.458 1 .498
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 8.11.
a.
Symmetric Measures
.052 .698
.052 .698266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
140
120
100
80
60
40
20
0
I need help with per
Missing
Yes
No
Gender * I need help with nursing careCrosstab
Count
19 5 59 8349 28 106 18368 33 165 266
MaleFemale
Gender
Total
Missing Yes NoI need help with nursing care
Total
Chi-Square Tests
5.892a 2 .0536.419 2 .040
1.208 1 .272
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 10.30.
a.
Symmetric Measures
.149 .053
.149 .053266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
I need help with nur
Missing
Yes
No
Gender * I need help to arrange my personal affairs (bank, servises)
Crosstab
Count
21 13 49 8349 43 91 18370 56 140 266
MaleFemale
Gender
Total
Missing Yes No
I need help to arrange my personalaffairs (bank, servises)
Total
Chi-Square Tests
2.652a 2 .2652.727 2 .256
.380 1 .538
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 17.47.
a.
Symmetric Measures
.100 .265
.100 .265266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I need help to arran
Missing
Yes
No
Gender * I need help with transport to doctor or to hospitalCrosstab
Count
20 11 52 8341 51 91 18361 62 143 266
MaleFemale
Gender
Total
Missing Yes No
I need help with transport to doctoror to hospital
Total
Chi-Square Tests
7.079a 2 .0297.604 2 .022
.136 1 .712
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 19.03.
a.
Symmetric Measures
.163 .029
.163 .029266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I need help with tra
Missing
Yes
No
Gender * I need help with lonliness (I need company)Crosstab
Count
18 17 48 8346 45 92 18364 62 140 266
MaleFemale
Gender
Total
Missing Yes No
I need help with lonliness (I needcompany)
Total
Chi-Square Tests
1.316a 2 .5181.321 2 .517
.687 1 .407
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 19.35.
a.
Symmetric Measures
.070 .518
.070 .518266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I need help with lon
Missing
Yes
No
Gender * I need help to take care about my petCrosstab
Count
22 4 57 8357 8 118 18379 12 175 266
MaleFemale
Gender
Total
Missing Yes No
I need help to take care about mypet
Total
Chi-Square Tests
.592a 2 .744
.600 2 .741
.570 1 .450
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
1 cells (16.7%) have expected count less than 5. Theminimum expected count is 3.74.
a.
Symmetric Measures
.047 .744
.047 .744266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
140
120
100
80
60
40
20
0
I need help to take
Missing
Yes
No
Gender * I feel lonely
Crosstab
Count
20 32 11 9 7 4 8341 47 37 12 28 18 18361 79 48 21 35 22 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
I feel lonely
Total
Chi-Square Tests
9.904a 5 .07810.138 5 .071
2.250 1 .134
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 6.55.
a.
Symmetric Measures
.193 .078
.193 .078266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
50
40
30
20
10
0
I feel lonely
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * I am satisfied with my lifeCrosstab
Count
11 5 4 10 25 28 8326 10 12 23 67 45 18337 15 16 33 92 73 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
I am satisfied with my life
Total
Chi-Square Tests
2.804a 5 .7302.772 5 .735
.323 1 .570
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
2 cells (16.7%) have expected count less than 5. Theminimum expected count is 4.68.
a.
Symmetric Measures
.103 .730
.103 .730266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
80
70
60
50
40
30
20
10
0
I am satisfied with
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * I feel that my family cares about meCrosstab
Count
14 2 1 2 28 36 8323 8 4 7 61 80 18337 10 5 9 89 116 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
I feel that my family cares about me
Total
Chi-Square Tests
1.978a 5 .8522.050 5 .842
.292 1 .589
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
4 cells (33.3%) have expected count less than 5. Theminimum expected count is 1.56.
a.
Symmetric Measures
.086 .852
.086 .852266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I feel that my famil
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * Is there a Voluntary Organisation for support for Elder people in your city?
Crosstab
Count
13 29 41 8334 67 82 18347 96 123 266
MaleFemale
Gender
Total
Missing Yes No
Is there a Voluntary Organisation forsupport for Elder people in your city?
Total
Chi-Square Tests
.579a 2 .749
.583 2 .747
.494 1 .482
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 14.67.
a.
Symmetric Measures
.047 .749
.047 .749266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
Is there a Voluntary
Missing
Yes
No
Gender * Are you interested in developing of the idea to establish a Centre for Elder people?
Crosstab
Count
16 49 18 8330 125 28 18346 174 46 266
MaleFemale
Gender
Total
Missing Yes No
Are you interested in developing ofthe idea to establish a Centre for
Elder people?Total
Chi-Square Tests
2.371a 2 .3062.328 2 .312
.018 1 .893
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 14.35.
a.
Symmetric Measures
.094 .306
.094 .306266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
140
120
100
80
60
40
20
0
Are you interested i
Missing
Yes
No
Gender * Are there enough opportunities for entertainment and participating in activities in your area?
Crosstab
Count
18 21 44 8327 46 110 18345 67 154 266
MaleFemale
Gender
Total
Missing Yes No
Are there enough opportunities forentertainment and participating in
activities in your area?Total
Chi-Square Tests
2.120a 2 .3472.059 2 .357
2.112 1 .146
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 14.04.
a.
Symmetric Measures
.089 .347
.089 .347266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
Are there enough opp
Missing
Yes
No
Gender * A centre for older people I would like to offer to me a better health care
Crosstab
Count
11 4 1 6 29 32 8315 7 3 9 68 81 18326 11 4 15 97 113 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me a better health care
Total
Chi-Square Tests
2.758a 5 .7372.666 5 .751
2.170 1 .141
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
4 cells (33.3%) have expected count less than 5. Theminimum expected count is 1.25.
a.
Symmetric Measures
.102 .737
.102 .737266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
A centre for older p
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * A centre for older people I would like to offer to me lectures/presentations related to popular interests
Crosstab
Count
19 3 2 19 18 22 8340 2 7 30 62 42 18359 5 9 49 80 64 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me lectures/presentationsrelated to popular interests
Total
Chi-Square Tests
6.729a 5 .2426.694 5 .244
.162 1 .687
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
3 cells (25.0%) have expected count less than 5. Theminimum expected count is 1.56.
a.
Symmetric Measures
.159 .242
.159 .242266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
70
60
50
40
30
20
10
0
A centre for older p
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * A centre for older people I would like to offer to me visits/trips
Crosstab
Count
16 2 5 9 26 25 8329 3 10 15 66 60 18345 5 15 24 92 85 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me visits/trips
Total
Chi-Square Tests
1.550a 5 .9071.527 5 .910
.818 1 .366
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
3 cells (25.0%) have expected count less than 5. Theminimum expected count is 1.56.
a.
Symmetric Measures
.076 .907
.076 .907266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
70
60
50
40
30
20
10
0
A centre for older p
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * A centre for older people I would like to offer to me entertainment opportunities
Crosstab
Count
19 2 4 10 14 34 8340 4 8 19 44 68 18359 6 12 29 58 102 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me entertainment opportunities
Total
Chi-Square Tests
1.775a 5 .8791.835 5 .871
.024 1 .876
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
3 cells (25.0%) have expected count less than 5. Theminimum expected count is 1.87.
a.
Symmetric Measures
.082 .879
.082 .879266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
80
60
40
20
0
A centre for older p
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * A centre for older people I would like to offer to me opportunities for increasing activities
Crosstab
Count
16 3 0 10 26 28 8344 3 6 15 57 58 18360 6 6 25 83 86 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me opportunities for increasingactivities
Total
Chi-Square Tests
5.259a 5 .3856.931 5 .226
.586 1 .444
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
4 cells (33.3%) have expected count less than 5. Theminimum expected count is 1.87.
a.
Symmetric Measures
.141 .385
.141 .385266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
70
60
50
40
30
20
10
0
A centre for older p
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * A centre for older people I would like to offer to me food
Crosstab
Count
21 6 5 15 17 19 8356 5 17 22 47 36 18377 11 22 37 64 55 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me food
Total
Chi-Square Tests
6.513a 5 .2596.284 5 .280
.361 1 .548
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
1 cells (8.3%) have expected count less than 5. Theminimum expected count is 3.43.
a.
Symmetric Measures
.156 .259
.156 .259266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
60
50
40
30
20
10
0
A centre for older p
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * Elderly people don't need lectures, theatrical plays and trips, they only need caring and food.
Crosstab
Count
12 20 25 10 11 5 8318 71 58 13 15 8 18330 91 83 23 26 13 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
Elderly people don't need lectures, theatrical plays and trips, they only needcaring and food.
Total
Chi-Square Tests
8.161a 5 .1488.180 5 .147
.511 1 .475
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
1 cells (8.3%) have expected count less than 5. Theminimum expected count is 4.06.
a.
Symmetric Measures
.175 .148
.175 .148266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
80
60
40
20
0
Elderly people don't
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * Young people need good company more than elderly people.
Crosstab
Count
12 26 22 9 10 4 8322 58 63 14 20 6 18334 84 85 23 30 10 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
Young people need good company more than elderly people.
Total
Chi-Square Tests
2.486a 5 .7792.477 5 .780
.001 1 .977
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
1 cells (8.3%) have expected count less than 5. Theminimum expected count is 3.12.
a.
Symmetric Measures
.097 .779
.097 .779266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
70
60
50
40
30
20
10
0
Young people need go
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * People, in spite of their age, want to learn and be active.
Crosstab
Count
12 2 3 15 22 29 8320 3 7 11 69 73 18332 5 10 26 91 102 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
People, in spite of their age, want to learn and be active.
Total
Chi-Square Tests
11.735a 5 .03911.059 5 .050
1.900 1 .168
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
3 cells (25.0%) have expected count less than 5. Theminimum expected count is 1.56.
a.
Symmetric Measures
.210 .039
.210 .039266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
80
60
40
20
0
People, in spite of
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * Elderly people can enjoy life as younger people do.
Crosstab
Count
12 4 4 4 33 26 8314 6 17 11 81 54 18326 10 21 15 114 80 266
MaleFemale
Gender
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
Elderly people can enjoy life as younger people do.
Total
Chi-Square Tests
4.990a 5 .4174.947 5 .422
1.538 1 .215
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
2 cells (16.7%) have expected count less than 5. Theminimum expected count is 3.12.
a.
Symmetric Measures
.137 .417
.137 .417266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
Elderly people can e
Missing
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Gender * I would like computer lessonsCrosstab
Count
20 25 38 8349 30 104 18369 55 142 266
MaleFemale
Gender
Total
Missing Yes NoI would like computer lessons
Total
Chi-Square Tests
6.667a 2 .0366.386 2 .041
.018 1 .892
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 17.16.
a.
Symmetric Measures
.158 .036
.158 .036266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
I would like compute
Missing
Yes
No
Gender * I would like cooking lessonsCrosstab
Count
23 12 48 8343 72 68 18366 84 116 266
MaleFemale
Gender
Total
Missing Yes NoI would like cooking lessons
Total
Chi-Square Tests
17.203a 2 .00018.638 2 .000
.143 1 .706
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 20.59.
a.
Symmetric Measures
.254 .000
.254 .000266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
80
70
60
50
40
30
20
10
0
I would like cooking
Missing
Yes
No
Gender * I would like dancing lessonsCrosstab
Count
21 14 48 8347 37 99 18368 51 147 266
MaleFemale
Gender
Total
Missing Yes NoI would like dancing lessons
Total
Chi-Square Tests
.482a 2 .786
.488 2 .783
.048 1 .826
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 15.91.
a.
Symmetric Measures
.043 .786
.043 .786266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
I would like dancing
Missing
Yes
No
Gender * I would like art and crafts lessonsCrosstab
Count
20 11 52 8347 38 98 18367 49 150 266
MaleFemale
Gender
Total
Missing Yes NoI would like art and crafts lessons
Total
Chi-Square Tests
2.645a 2 .2672.739 2 .254
.391 1 .532
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 15.29.
a.
Symmetric Measures
.100 .267
.100 .267266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
I would like art and
Missing
Yes
No
Gender * I would like pottery lessonsCrosstab
Count
21 9 53 8361 14 108 18382 23 161 266
MaleFemale
Gender
Total
Missing Yes NoI would like pottery lessons
Total
Chi-Square Tests
2.089a 2 .3522.105 2 .349
1.453 1 .228
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 7.18.
a.
Symmetric Measures
.089 .352
.089 .352266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
I would like pottery
Missing
Yes
No
Gender * I would like foreing languages lessonsCrosstab
Count
21 12 50 8355 27 101 18376 39 151 266
MaleFemale
Gender
Total
Missing Yes No
I would like foreing languageslessons
Total
Chi-Square Tests
.711a 2 .701
.719 2 .698
.694 1 .405
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 12.17.
a.
Symmetric Measures
.052 .701
.052 .701266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
I would like foreing
Missing
Yes
No
Gender * I would like my countries' language for foreignersCrosstab
Count
24 3 56 8360 14 109 18384 17 165 266
MaleFemale
Gender
Total
Missing Yes No
I would like my countries' languagefor foreigners
Total
Chi-Square Tests
2.302a 2 .3162.459 2 .293
.646 1 .422
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 5.30.
a.
Symmetric Measures
.093 .316
.093 .316266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
I would like my coun
Missing
Yes
No
Gender * I would like gymnastics lessonsCrosstab
Count
21 15 47 8353 36 94 18374 51 141 266
MaleFemale
Gender
Total
Missing Yes NoI would like gymnastics lessons
Total
Chi-Square Tests
.649a 2 .723
.651 2 .722
.510 1 .475
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 15.91.
a.
Symmetric Measures
.049 .723
.049 .723266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I would like gymnast
Missing
Yes
No
Gender * I would like fashion-embroidery lessonsCrosstab
Count
22 1 60 8350 41 92 18372 42 152 266
MaleFemale
Gender
Total
Missing Yes No
I would like fashion-embroiderylessons
Total
Chi-Square Tests
21.111a 2 .00028.208 2 .000
1.154 1 .283
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 13.11.
a.
Symmetric Measures
.282 .000
.282 .000266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I would like fashion
Missing
Yes
No
Gender * I would like discussion on a variety of topics
Crosstab
Count
14 44 25 8331 94 58 18345 138 83 266
MaleFemale
Gender
Total
Missing Yes No
I would like discussion on a varietyof topics
Total
Chi-Square Tests
.075a 2 .963
.075 2 .963
.006 1 .939
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 14.04.
a.
Symmetric Measures
.017 .963
.017 .963266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
I would like discuss
Missing
Yes
No
Gender * To participate in a team to publish a book with traditional recipes
Crosstab
Count
19 7 57 8346 56 81 18365 63 138 266
MaleFemale
Gender
Total
Missing Yes No
To participate in a team to publish abook with traditional recipes
Total
Chi-Square Tests
18.525a 2 .00020.608 2 .000
2.065 1 .151
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 19.66.
a.
Symmetric Measures
.264 .000
.264 .000266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
To participate in a
Missing
Yes
No
Gender * To participate in a team to publish a book with traditional myths and stories
Crosstab
Count
17 17 49 8358 25 100 18375 42 149 266
MaleFemale
Gender
Total
Missing Yes No
To participate in a team to publish abook with traditional myths and
storiesTotal
Chi-Square Tests
4.425a 2 .1094.503 2 .105
2.727 1 .099
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 13.11.
a.
Symmetric Measures
.129 .109
.129 .109266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
To participate in a
Missing
Yes
No
Gender * To participate in a team to publish a book with old pictures from our city or town
Crosstab
Count
16 27 40 8354 34 95 18370 61 135 266
MaleFemale
Gender
Total
Missing Yes No
To participate in a team to publish abook with old pictures from our city
or townTotal
Chi-Square Tests
7.273a 2 .0267.128 2 .028
1.480 1 .224
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 19.03.
a.
Symmetric Measures
.165 .026
.165 .026266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
100
80
60
40
20
0
To participate in a
Missing
Yes
No
Gender * To participate in a team to publish a tourist guide about our city or town
Crosstab
Count
19 17 47 8359 22 102 18378 39 149 266
MaleFemale
Gender
Total
Missing Yes No
To participate in a team to publish atourist guide about our city or town
Total
Chi-Square Tests
4.498a 2 .1064.422 2 .110
1.538 1 .215
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 12.17.
a.
Symmetric Measures
.130 .106
.130 .106266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
To participate in a
Missing
Yes
No
Gender * To participate in a team to publish a book with traditional songs
Crosstab
Count
17 20 46 8349 36 98 18366 56 144 266
MaleFemale
Gender
Total
Missing Yes No
To participate in a team to publish abook with traditional songs
Total
Chi-Square Tests
1.479a 2 .4771.499 2 .472
.896 1 .344
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
0 cells (.0%) have expected count less than 5. Theminimum expected count is 17.47.
a.
Symmetric Measures
.075 .477
.075 .477266
PhiCramer's V
Nominal byNominal
N of Valid Cases
Value Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the nullhypothesis.
b.
Gender
FemaleMale
Cou
nt
120
100
80
60
40
20
0
To participate in a
Missing
Yes
No
Crosstabs Country *All statements
Country *Age Crosstab
2 9 7 9 277.4 8.7 7.2 3.7 27.0
7.4% 33.3% 25.9% 33.3% 100.0%2.7% 10.5% 9.9% 25.0% 10.2%.8% 3.4% 2.6% 3.4% 10.2%-5.4 .3 -.2 5.3-2.0 .1 -.1 2.8-2.5 .1 -.1 3.2
10 13 15 5 4311.8 13.9 11.5 5.8 43.0
23.3% 30.2% 34.9% 11.6% 100.0%13.7% 15.1% 21.1% 13.9% 16.2%3.8% 4.9% 5.6% 1.9% 16.2%
-1.8 -.9 3.5 -.8-.5 -.2 1.0 -.3-.7 -.3 1.3 -.416 32 31 17 96
26.3 31.0 25.6 13.0 96.016.7% 33.3% 32.3% 17.7% 100.0%21.9% 37.2% 43.7% 47.2% 36.1%6.0% 12.0% 11.7% 6.4% 36.1%-10.3 1.0 5.4 4.0-2.0 .2 1.1 1.1-3.0 .3 1.6 1.5
45 31 18 5 9927.2 32.0 26.4 13.4 99.0
45.5% 31.3% 18.2% 5.1% 100.0%61.6% 36.0% 25.4% 13.9% 37.2%16.9% 11.7% 6.8% 1.9% 37.2%
17.8 -1.0 -8.4 -8.43.4 -.2 -1.6 -2.35.1 -.3 -2.4 -3.1
0 1 0 0 1.3 .3 .3 .1 1.0
.0% 100.0% .0% .0% 100.0%
.0% 1.2% .0% .0% .4%
.0% .4% .0% .0% .4%-.3 .7 -.3 -.1-.5 1.2 -.5 -.4-.6 1.4 -.6 -.473 86 71 36 266
73.0 86.0 71.0 36.0 266.027.4% 32.3% 26.7% 13.5% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0%27.4% 32.3% 26.7% 13.5% 100.0%
CountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
50-59 60-69 70-79 80+Age
Total
Crosstab
2 9 7 9 277.4 8.7 7.2 3.7 27.0
7.4% 33.3% 25.9% 33.3% 100.0%2.7% 10.5% 9.9% 25.0% 10.2%.8% 3.4% 2.6% 3.4% 10.2%-5.4 .3 -.2 5.3-2.0 .1 -.1 2.8-2.5 .1 -.1 3.2
10 13 15 5 4311.8 13.9 11.5 5.8 43.0
23.3% 30.2% 34.9% 11.6% 100.0%13.7% 15.1% 21.1% 13.9% 16.2%3.8% 4.9% 5.6% 1.9% 16.2%
-1.8 -.9 3.5 -.8-.5 -.2 1.0 -.3-.7 -.3 1.3 -.416 32 31 17 96
26.3 31.0 25.6 13.0 96.016.7% 33.3% 32.3% 17.7% 100.0%21.9% 37.2% 43.7% 47.2% 36.1%6.0% 12.0% 11.7% 6.4% 36.1%-10.3 1.0 5.4 4.0-2.0 .2 1.1 1.1-3.0 .3 1.6 1.5
45 31 18 5 9927.2 32.0 26.4 13.4 99.0
45.5% 31.3% 18.2% 5.1% 100.0%61.6% 36.0% 25.4% 13.9% 37.2%16.9% 11.7% 6.8% 1.9% 37.2%
17.8 -1.0 -8.4 -8.43.4 -.2 -1.6 -2.35.1 -.3 -2.4 -3.1
0 1 0 0 1.3 .3 .3 .1 1.0
.0% 100.0% .0% .0% 100.0%
.0% 1.2% .0% .0% .4%
.0% .4% .0% .0% .4%-.3 .7 -.3 -.1-.5 1.2 -.5 -.4-.6 1.4 -.6 -.473 86 71 36 266
73.0 86.0 71.0 36.0 266.027.4% 32.3% 26.7% 13.5% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0%27.4% 32.3% 26.7% 13.5% 100.0%
CountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Age% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
50-59 60-69 70-79 80+Age
Total
Chi-Square Tests
41.548a 12 .00041.537 12 .000
24.191 1 .000
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
5 cells (25.0%) have expected count less than 5. The minimumexpected count is .14.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.121 .047 2.452 .014
.156 .064 2.268 .023
.089 .054 1.576 .115
.060 .019 .000c
.048 .015 .000c
.059 .017 3.401 .000d
.061 .018 3.401 .000d
.058 .017 3.401 .000d
.271 .049 5.538 .000
.264 .047 5.538 .000
.278 .050 5.538 .000
.306
.357
SymmetricCountry DependentAge DependentCountry DependentAge DependentSymmetricCountry DependentAge DependentSymmetricCountry DependentAge DependentCountry DependentAge Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.395 .000
.228 .000
.368 .000
.271 .049 5.538 .000
.257 .046 5.538 .000
.372 .065 5.538 .000
.317 .056 5.424 .000c
.302 .056 5.150 .000c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
Age
50-59
60-69
70-79
80+
Country * Nationality
Crosstab
27 0 2725.3 1.7 27.0
100.0% .0% 100.0%10.8% .0% 10.2%10.2% .0% 10.2%
1.7 -1.7.3 -1.3
1.4 -1.441 2 43
40.3 2.7 43.095.3% 4.7% 100.0%16.5% 11.8% 16.2%15.4% .8% 16.2%
.7 -.7
.1 -.5
.5 -.593 3 96
89.9 6.1 96.096.9% 3.1% 100.0%37.3% 17.6% 36.1%35.0% 1.1% 36.1%
3.1 -3.1.3 -1.3
1.6 -1.688 11 99
92.7 6.3 99.088.9% 11.1% 100.0%35.3% 64.7% 37.2%33.1% 4.1% 37.2%
-4.7 4.7-.5 1.9
-2.4 2.40 1 1
.9 .1 1.0.0% 100.0% 100.0%.0% 5.9% .4%.0% .4% .4%
-.9 .9-1.0 3.7-3.8 3.8249 17 266
249.0 17.0 266.093.6% 6.4% 100.0%
100.0% 100.0% 100.0%93.6% 6.4% 100.0%
CountExpected Count% within Country% within Nationality% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Nationality% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Nationality% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Nationality% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Nationality% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Nationality% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Local OtherNationality
Total
Chi-Square Tests
22.107a 4 .00014.453 4 .006
7.570 1 .006
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (40.0%) have expected count less than 5. The minimumexpected count is .06.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.033 .072 .445 .656
.030 .079 .372 .710
.059 .057 1.002 .316
.012 .009 .011c
.083 .018 .000c
.036 .017 2.008 .006d
.021 .010 2.008 .006d
.114 .053 2.008 .006d
-.115 .037 -2.671 .008-.390 .119 -2.671 .008-.067 .025 -2.671 .008.169.288
SymmetricCountry DependentNationality DependentCountry DependentNationality DependentSymmetricCountry DependentNationality DependentSymmetricCountry DependentNationality DependentCountry DependentNationality Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.288 .000
.288 .000
.277 .000-.162 .052 -2.671 .008-.093 .035 -2.671 .008-.569 .174 -2.671 .008
-.175 .056 -2.882 .004c
-.169 .051 -2.786 .006c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus.00
Cou
nt
100
80
60
40
20
0
Nationality
Local
Other
Country * Studies
Crosstab
0 0 1 13 5 8 27.2 5.2 7.4 6.5 4.8 2.9 27.0
.0% .0% 3.7% 48.1% 18.5% 29.6% 100.0%
.0% .0% 1.4% 20.3% 10.6% 27.6% 10.2%
.0% .0% .4% 4.9% 1.9% 3.0% 10.2%-.2 -5.2 -6.4 6.5 .2 5.1-.5 -2.3 -2.4 2.6 .1 2.9-.5 -2.7 -2.9 3.1 .1 3.3
0 5 12 11 10 5 43.3 8.2 11.8 10.3 7.6 4.7 43.0
.0% 11.6% 27.9% 25.6% 23.3% 11.6% 100.0%
.0% 9.8% 16.4% 17.2% 21.3% 17.2% 16.2%
.0% 1.9% 4.5% 4.1% 3.8% 1.9% 16.2%-.3 -3.2 .2 .7 2.4 .3-.6 -1.1 .1 .2 .9 .1-.6 -1.4 .1 .3 1.0 .2
0 20 20 30 22 4 96.7 18.4 26.3 23.1 17.0 10.5 96.0
.0% 20.8% 20.8% 31.3% 22.9% 4.2% 100.0%
.0% 39.2% 27.4% 46.9% 46.8% 13.8% 36.1%
.0% 7.5% 7.5% 11.3% 8.3% 1.5% 36.1%-.7 1.6 -6.3 6.9 5.0 -6.5-.8 .4 -1.2 1.4 1.2 -2.0
-1.1 .5 -1.8 2.1 1.7 -2.62 26 40 10 10 11 99
.7 19.0 27.2 23.8 17.5 10.8 99.02.0% 26.3% 40.4% 10.1% 10.1% 11.1% 100.0%
100.0% 51.0% 54.8% 15.6% 21.3% 37.9% 37.2%.8% 9.8% 15.0% 3.8% 3.8% 4.1% 37.2%1.3 7.0 12.8 -13.8 -7.5 .21.5 1.6 2.5 -2.8 -1.8 .11.8 2.3 3.6 -4.1 -2.5 .1
0 0 0 0 0 1 1.0 .2 .3 .2 .2 .1 1.0
.0% .0% .0% .0% .0% 100.0% 100.0%
.0% .0% .0% .0% .0% 3.4% .4%
.0% .0% .0% .0% .0% .4% .4%.0 -.2 -.3 -.2 -.2 .9
-.1 -.4 -.5 -.5 -.4 2.7-.1 -.5 -.6 -.6 -.5 2.9
2 51 73 64 47 29 2662.0 51.0 73.0 64.0 47.0 29.0 266.0
.8% 19.2% 27.4% 24.1% 17.7% 10.9% 100.0%100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
.8% 19.2% 27.4% 24.1% 17.7% 10.9% 100.0%
CountExpected Count% within Country% within Studies% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Studies% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Studies% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Studies% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Studies% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Studies% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing
I only studiedfew classes in
PrimarySchool
I graduatedfrom Primary
School
I graduatedfrom
SecondarySchool
I graduatedfrom Lyceum
(Higherschool) (FE)
I graduatedfrom
college/university (HE)
Studies
Total
Chi-Square Tests
68.676a 20 .00072.687 20 .000
23.667 1 .000
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
13 cells (43.3%) have expected count less than 5. The minimumexpected count is .01.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.153 .036 4.037 .000
.192 .046 3.876 .000
.119 .039 2.897 .004
.080 .019 .000c
.061 .012 .000c
.095 .018 5.121 .000d
.106 .020 5.121 .000d
.085 .017 5.121 .000d
.250 .050 4.996 .000
.235 .047 4.996 .000
.266 .053 4.996 .000
.374
.340
SymmetricCountry DependentStudies DependentCountry DependentStudies DependentSymmetricCountry DependentStudies DependentSymmetricCountry DependentStudies DependentCountry DependentStudies Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.508 .000
.254 .000
.453 .000
.250 .050 4.996 .000
.231 .046 4.996 .000
.331 .065 4.996 .000
.296 .059 5.042 .000c
.299 .057 5.088 .000c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Co
un
t
50
40
30
20
10
0
Studies
I only studied few c
lasses in Primary Sc
I graduated from Pri
mary School
I graduated from Sec
ondary School
I graduated from Lyc
eum (Higher school)
I graduated from col
lege/university (HE)
Country * Living conditions
Crosstab
0 17 10 0 27.4 9.3 17.2 .1 27.0
.0% 63.0% 37.0% .0% 100.0%
.0% 18.5% 5.9% .0% 10.2%
.0% 6.4% 3.8% .0% 10.2%-.4 7.7 -7.2 -.1-.6 2.5 -1.7 -.3-.7 3.3 -3.0 -.3
0 12 30 1 43.6 14.9 27.3 .2 43.0
.0% 27.9% 69.8% 2.3% 100.0%
.0% 13.0% 17.8% 100.0% 16.2%
.0% 4.5% 11.3% .4% 16.2%-.6 -2.9 2.7 .8-.8 -.7 .5 2.1-.9 -1.0 .9 2.3
4 32 60 0 961.4 33.2 61.0 .4 96.0
4.2% 33.3% 62.5% .0% 100.0%100.0% 34.8% 35.5% .0% 36.1%
1.5% 12.0% 22.6% .0% 36.1%2.6 -1.2 -1.0 -.42.1 -.2 -.1 -.62.7 -.3 -.3 -.8
0 31 68 0 991.5 34.2 62.9 .4 99.0
.0% 31.3% 68.7% .0% 100.0%
.0% 33.7% 40.2% .0% 37.2%
.0% 11.7% 25.6% .0% 37.2%-1.5 -3.2 5.1 -.4-1.2 -.6 .6 -.6-1.6 -.9 1.3 -.8
0 0 1 0 1.0 .3 .6 .0 1.0
.0% .0% 100.0% .0% 100.0%
.0% .0% .6% .0% .4%
.0% .0% .4% .0% .4%.0 -.3 .4 .0
-.1 -.6 .5 -.1-.1 -.7 .8 -.1
4 92 169 1 2664.0 92.0 169.0 1.0 266.0
1.5% 34.6% 63.5% .4% 100.0%100.0% 100.0% 100.0% 100.0% 100.0%
1.5% 34.6% 63.5% .4% 100.0%
CountExpected Count% within Country% within Living conditions% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Living conditions% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Living conditions% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Living conditions% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Living conditions% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Living conditions% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No 3.00Living conditions
Total
Chi-Square Tests
23.692a 12 .02222.857 12 .029
2.231 1 .135
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
12 cells (60.0%) have expected count less than 5. The minimumexpected count is .00.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.049 .036 1.338 .181
.036 .048 .728 .466
.072 .052 1.352 .176
.025 .005 .008c
.041 .023 .001c
.042 .015 2.709 .029d
.033 .012 2.709 .029d
.058 .020 2.709 .029d
-.094 .055 -1.718 .086-.115 .067 -1.718 .086
-.079 .046 -1.718 .086
.151
.192
SymmetricCountry DependentLiving conditionsDependentCountry DependentLiving conditionsDependentSymmetricCountry DependentLiving conditionsDependentSymmetricCountry DependentLiving conditionsDependentCountry DependentLiving conditionsDependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.298 .022
.172 .022
.286 .022-.096 .056 -1.718 .086-.073 .043 -1.718 .086-.164 .094 -1.718 .086
-.104 .061 -1.705 .089c
-.092 .047 -1.497 .136c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
Living conditions
Yes
No
3.00
Country * With whom do you live?
Crosstab
17 5 2 1 2 277.6 10.7 3.6 4.3 .9 27.0
63.0% 18.5% 7.4% 3.7% 7.4% 100.0%
22.7% 4.8% 5.7% 2.4% 22.2% 10.2%
6.4% 1.9% .8% .4% .8% 10.2%9.4 -5.7 -1.6 -3.3 1.13.4 -1.7 -.8 -1.6 1.14.2 -2.4 -.9 -1.8 1.212 11 5 14 1 43
12.1 17.0 5.7 6.8 1.5 43.027.9% 25.6% 11.6% 32.6% 2.3% 100.0%
16.0% 10.5% 14.3% 33.3% 11.1% 16.2%
4.5% 4.1% 1.9% 5.3% .4% 16.2%-.1 -6.0 -.7 7.2 -.5.0 -1.4 -.3 2.8 -.4.0 -2.0 -.3 3.3 -.429 38 23 4 2 96
27.1 37.9 12.6 15.2 3.2 96.030.2% 39.6% 24.0% 4.2% 2.1% 100.0%
38.7% 36.2% 65.7% 9.5% 22.2% 36.1%
10.9% 14.3% 8.6% 1.5% .8% 36.1%1.9 .1 10.4 -11.2 -1.2.4 .0 2.9 -2.9 -.7.5 .0 3.9 -3.9 -.916 51 5 23 4 99
27.9 39.1 13.0 15.6 3.3 99.016.2% 51.5% 5.1% 23.2% 4.0% 100.0%
21.3% 48.6% 14.3% 54.8% 44.4% 37.2%
6.0% 19.2% 1.9% 8.6% 1.5% 37.2%-11.9 11.9 -8.0 7.4 .7-2.3 1.9 -2.2 1.9 .4-3.4 3.1 -3.0 2.6 .5
1 0 0 0 0 1.3 .4 .1 .2 .0 1.0
100.0% .0% .0% .0% .0% 100.0%
1.3% .0% .0% .0% .0% .4%
.4% .0% .0% .0% .0% .4%.7 -.4 -.1 -.2 .0
1.4 -.6 -.4 -.4 -.21.6 -.8 -.4 -.4 -.275 105 35 42 9 266
75.0 105.0 35.0 42.0 9.0 266.028.2% 39.5% 13.2% 15.8% 3.4% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
28.2% 39.5% 13.2% 15.8% 3.4% 100.0%
CountExpected Count% within Country% within Withwhom do you live?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Withwhom do you live?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Withwhom do you live?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Withwhom do you live?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Withwhom do you live?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Withwhom do you live?% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing
With myhusband/wife/partner
With mychildren
With myhusband/wife/partner andmy children
With otherpeople
With whom do you live?
Total
Chi-Square Tests
66.182a 16 .00066.840 16 .000
9.480 1 .002
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
11 cells (44.0%) have expected count less than 5. The minimumexpected count is .03.
a.
Both variables must have identical values of categories.b.
Directional Measures
.143 .030 4.427 .000
.186 .046 3.722 .000
.099 .041 2.333 .020
.088 .020 .000c
.074 .018 .000c
.094 .021 4.406 .000d
.098 .022 4.406 .000d
.090 .020 4.406 .000d
-.115 .057 -2.021 .043-.113 .056 -2.021 .043
-.117 .058 -2.021 .043
.286
.285
SymmetricCountry DependentWith whom do youlive? DependentCountry DependentWith whom do youlive? DependentSymmetricCountry DependentWith whom do youlive? DependentSymmetricCountry DependentWith whom do youlive? DependentCountry DependentWith whom do youlive? Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.499 .000
.249 .000
.446 .000-.115 .057 -2.021 .043-.102 .050 -2.021 .043-.157 .078 -2.021 .043
-.138 .065 -2.269 .024c
-.189 .066 -3.130 .002c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
60
50
40
30
20
10
0
With whom do you liv
With my husband/w ife
/partner
With my children
With my husband/w ife
/partner and my chil
With other people
Country * Are you in employment?
Crosstab
0 9 18 27.4 5.7 20.9 27.0
.0% 33.3% 66.7% 100.0%
.0% 16.1% 8.7% 10.2%
.0% 3.4% 6.8% 10.2%-.4 3.3 -2.9-.6 1.4 -.6-.7 1.7 -1.4
0 4 39 43.6 9.1 33.3 43.0
.0% 9.3% 90.7% 100.0%
.0% 7.1% 18.9% 16.2%
.0% 1.5% 14.7% 16.2%-.6 -5.1 5.7-.8 -1.7 1.0-.9 -2.1 2.3
1 24 71 961.4 20.2 74.3 96.0
1.0% 25.0% 74.0% 100.0%
25.0% 42.9% 34.5% 36.1%
.4% 9.0% 26.7% 36.1%-.4 3.8 -3.3-.4 .8 -.4-.5 1.2 -1.0
3 19 77 991.5 20.8 76.7 99.0
3.0% 19.2% 77.8% 100.0%
75.0% 33.9% 37.4% 37.2%
1.1% 7.1% 28.9% 37.2%1.5 -1.8 .31.2 -.4 .01.6 -.6 .1
0 0 1 1.0 .2 .8 1.0
.0% .0% 100.0% 100.0%
.0% .0% .5% .4%
.0% .0% .4% .4%.0 -.2 .2
-.1 -.5 .3-.1 -.5 .5
4 56 206 2664.0 56.0 206.0 266.0
1.5% 21.1% 77.4% 100.0%
100.0% 100.0% 100.0% 100.0%
1.5% 21.1% 77.4% 100.0%
CountExpected Count% within Country% within Are you inemployment?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are you inemployment?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are you inemployment?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are you inemployment?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are you inemployment?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are you inemployment?% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoAre you in employment?
Total
Chi-Square Tests
10.174a 8 .25311.503 8 .175
.651 1 .420
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
7 cells (46.7%) have expected count less than 5. The minimumexpected count is .02.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.022 .029 .763 .445
.030 .039 .763 .445
.000 .000 .c
.c
.011 .007 .179d
.027 .017 .081d
.023 .012 1.971 .175e
.017 .008 1.971 .175e
.037 .018 1.971 .175e
.009 .053 .159 .873
.013 .079 .159 .873
.006 .040 .159 .873
.098
.132
SymmetricCountry DependentAre you in employment?DependentCountry DependentAre you in employment?DependentSymmetricCountry DependentAre you in employment?DependentSymmetricCountry DependentAre you in employment?DependentCountry DependentAre you in employment?Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Cannot be computed because the asymptotic standard error equals zero.c.
Based on chi-square approximationd.
Likelihood ratio chi-square probability.e.
Symmetric Measures
.196 .253
.138 .253
.192 .253
.009 .056 .159 .873
.007 .042 .159 .873
.018 .114 .159 .873
.010 .061 .158 .875c
.050 .054 .806 .421c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
100
80
60
40
20
0
Are you in employmen
Yes
No
Country * Did you work before your retirement?
Crosstab
4 17 6 274.6 17.6 4.9 27.0
14.8% 63.0% 22.2% 100.0%
8.9% 9.8% 12.5% 10.2%
1.5% 6.4% 2.3% 10.2%-.6 -.6 1.1-.3 -.1 .5-.3 -.2 .6
1 37 5 437.3 28.0 7.8 43.0
2.3% 86.0% 11.6% 100.0%
2.2% 21.4% 10.4% 16.2%
.4% 13.9% 1.9% 16.2%-6.3 9.0 -2.8-2.3 1.7 -1.0-2.8 3.2 -1.2
15 64 17 9616.2 62.4 17.3 96.0
15.6% 66.7% 17.7% 100.0%
33.3% 37.0% 35.4% 36.1%
5.6% 24.1% 6.4% 36.1%-1.2 1.6 -.3-.3 .2 -.1-.4 .4 -.125 54 20 99
16.7 64.4 17.9 99.025.3% 54.5% 20.2% 100.0%
55.6% 31.2% 41.7% 37.2%
9.4% 20.3% 7.5% 37.2%8.3 -10.4 2.12.0 -1.3 .52.8 -2.8 .7
0 1 0 1.2 .7 .2 1.0
.0% 100.0% .0% 100.0%
.0% .6% .0% .4%
.0% .4% .0% .4%-.2 .3 -.2-.4 .4 -.4-.5 .7 -.545 173 48 266
45.0 173.0 48.0 266.016.9% 65.0% 18.0% 100.0%
100.0% 100.0% 100.0% 100.0%
16.9% 65.0% 18.0% 100.0%
CountExpected Count% within Country% within Did you workbefore your retirement?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Did you workbefore your retirement?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Did you workbefore your retirement?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Did you workbefore your retirement?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Did you workbefore your retirement?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Did you workbefore your retirement?% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
Did you work before yourretirement?
Total
Chi-Square Tests
16.335a 8 .03819.233 8 .014
4.692 1 .030
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
5 cells (33.3%) have expected count less than 5. The minimumexpected count is .17.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.038 .041 .922 .357
.060 .063 .922 .357
.000 .000 .c
.c
.021 .010 .005d
.037 .015 .011d
.033 .013 2.564 .014e
.028 .011 2.564 .014e
.041 .016 2.564 .014e
.078 .055 1.423 .155
.092 .064 1.423 .155
.068 .048 1.423 .155
.167
.166
SymmetricCountry DependentDid you work before yourretirement? DependentCountry DependentDid you work before yourretirement? DependentSymmetricCountry DependentDid you work before yourretirement? DependentSymmetricCountry DependentDid you work before yourretirement? DependentCountry DependentDid you work before yourretirement? Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Cannot be computed because the asymptotic standard error equals zero.c.
Based on chi-square approximationd.
Likelihood ratio chi-square probability.e.
Symmetric Measures
.248 .038
.175 .038
.241 .038
.079 .055 1.423 .155
.071 .050 1.423 .155
.133 .093 1.423 .155
.088 .062 1.440 .151c
.133 .059 2.181 .030c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
Did you work before
Yes
No
Country * Every day I attend a place of worship and then go home
Crosstab
18 3 6 2711.7 9.8 5.5 27.0
66.7% 11.1% 22.2% 100.0%
15.7% 3.1% 11.1% 10.2%
6.8% 1.1% 2.3% 10.2%6.3 -6.8 .51.9 -2.2 .22.6 -2.9 .3
0 21 22 4318.6 15.7 8.7 43.0.0% 48.8% 51.2% 100.0%
.0% 21.6% 40.7% 16.2%
.0% 7.9% 8.3% 16.2%-18.6 5.3 13.3-4.3 1.3 4.5-6.3 1.8 5.5
45 39 12 9641.5 35.0 19.5 96.0
46.9% 40.6% 12.5% 100.0%
39.1% 40.2% 22.2% 36.1%
16.9% 14.7% 4.5% 36.1%3.5 4.0 -7.5.5 .7 -1.7.9 1.1 -2.452 34 13 99
42.8 36.1 20.1 99.052.5% 34.3% 13.1% 100.0%
45.2% 35.1% 24.1% 37.2%
19.5% 12.8% 4.9% 37.2%9.2 -2.1 -7.11.4 -.3 -1.62.4 -.6 -2.2
0 0 1 1.4 .4 .2 1.0
.0% .0% 100.0% 100.0%
.0% .0% 1.9% .4%
.0% .0% .4% .4%-.4 -.4 .8-.7 -.6 1.8-.9 -.8 2.0
115 97 54 266115.0 97.0 54.0 266.0
43.2% 36.5% 20.3% 100.0%
100.0% 100.0% 100.0% 100.0%
43.2% 36.5% 20.3% 100.0%
CountExpected Count% within Country% within Every day I attenda place of worship andthen go home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day I attenda place of worship andthen go home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day I attenda place of worship andthen go home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day I attenda place of worship andthen go home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day I attenda place of worship andthen go home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day I attenda place of worship andthen go home% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
Every day I attend a place of worshipand then go home
Total
Chi-Square Tests
60.968a 8 .00074.582 8 .000
5.311 1 .021
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .20.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.116 .039 2.839 .005
.084 .060 1.352 .176
.152 .029 5.018 .000
.056 .014 .000c
.113 .016 .000c
.120 .018 6.424 .000d
.109 .016 6.424 .000d
.133 .021 6.424 .000d
.180 .057 3.152 .002
.187 .059 3.152 .002
.172 .055 3.152 .002
.192
.431
SymmetricCountry DependentEvery day I attend a placeof worship and then gohome DependentCountry DependentEvery day I attend a placeof worship and then gohome DependentSymmetricCountry DependentEvery day I attend a placeof worship and then gohome DependentSymmetricCountry DependentEvery day I attend a placeof worship and then gohome DependentCountry DependentEvery day I attend a placeof worship and then gohome Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.479 .000
.339 .000
.432 .000
.180 .057 3.152 .002
.180 .057 3.152 .002
.260 .081 3.152 .002
.197 .063 3.273 .001c
.142 .065 2.324 .021c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
Every day I attend a
Yes
No
Country * Every day I stay at home
Crosstab
9 12 6 276.3 15.7 5.0 27.0
33.3% 44.4% 22.2% 100.0%
14.5% 7.7% 12.2% 10.2%
3.4% 4.5% 2.3% 10.2%2.7 -3.7 1.01.1 -.9 .51.3 -1.5 .5
0 18 25 4310.0 25.1 7.9 43.0.0% 41.9% 58.1% 100.0%
.0% 11.6% 51.0% 16.2%
.0% 6.8% 9.4% 16.2%-10.0 -7.1 17.1-3.2 -1.4 6.1-3.9 -2.4 7.3
18 72 6 9622.4 55.9 17.7 96.0
18.8% 75.0% 6.3% 100.0%
29.0% 46.5% 12.2% 36.1%
6.8% 27.1% 2.3% 36.1%-4.4 16.1 -11.7-.9 2.1 -2.8
-1.3 4.2 -3.835 53 11 99
23.1 57.7 18.2 99.035.4% 53.5% 11.1% 100.0%
56.5% 34.2% 22.4% 37.2%
13.2% 19.9% 4.1% 37.2%11.9 -4.7 -7.22.5 -.6 -1.73.6 -1.2 -2.4
0 0 1 1.2 .6 .2 1.0
.0% .0% 100.0% 100.0%
.0% .0% 2.0% .4%
.0% .0% .4% .4%-.2 -.6 .8-.5 -.8 1.9-.6 -1.2 2.162 155 49 266
62.0 155.0 49.0 266.023.3% 58.3% 18.4% 100.0%
100.0% 100.0% 100.0% 100.0%
23.3% 58.3% 18.4% 100.0%
CountExpected Count% within Country% within Every dayI stay at home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI stay at home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI stay at home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI stay at home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI stay at home% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI stay at home% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoEvery day I stay at home
Total
Chi-Square Tests
78.127a 8 .00075.728 8 .000
10.350 1 .001
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .18.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.147 .053 2.600 .009
.198 .068 2.634 .008
.072 .058 1.209 .227
.089 .023 .000c
.123 .029 .000c
.127 .024 5.041 .000d
.111 .021 5.041 .000d
.147 .028 5.041 .000d
.251 .058 4.239 .000
.278 .064 4.239 .000
.229 .054 4.239 .000
.260
.373
SymmetricCountry DependentEvery day I stay athome DependentCountry DependentEvery day I stay athome DependentSymmetricCountry DependentEvery day I stay athome DependentSymmetricCountry DependentEvery day I stay athome DependentCountry DependentEvery day I stay athome Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.542 .000
.383 .000
.476 .000
.252 .059 4.239 .000
.239 .056 4.239 .000
.378 .085 4.239 .000
.273 .065 4.615 .000c
.198 .066 3.276 .001c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
Every day I stay at
Yes
No
Country * Every day I visit my children/ relatives/ friends
Crosstab
9 14 4 278.1 15.3 3.6 27.0
33.3% 51.9% 14.8% 100.0%
11.3% 9.3% 11.4% 10.2%
3.4% 5.3% 1.5% 10.2%.9 -1.3 .4.3 -.3 .2.4 -.5 .30 30 13 43
12.9 24.4 5.7 43.0.0% 69.8% 30.2% 100.0%
.0% 19.9% 37.1% 16.2%
.0% 11.3% 4.9% 16.2%-12.9 5.6 7.3-3.6 1.1 3.1-4.7 1.9 3.6
47 37 12 9628.9 54.5 12.6 96.0
49.0% 38.5% 12.5% 100.0%
58.8% 24.5% 34.3% 36.1%
17.7% 13.9% 4.5% 36.1%18.1 -17.5 -.63.4 -2.4 -.25.0 -4.5 -.224 70 5 99
29.8 56.2 13.0 99.024.2% 70.7% 5.1% 100.0%
30.0% 46.4% 14.3% 37.2%
9.0% 26.3% 1.9% 37.2%-5.8 13.8 -8.0-1.1 1.8 -2.2-1.6 3.5 -3.0
0 0 1 1.3 .6 .1 1.0
.0% .0% 100.0% 100.0%
.0% .0% 2.9% .4%
.0% .0% .4% .4%-.3 -.6 .9-.5 -.8 2.4-.7 -1.1 2.680 151 35 266
80.0 151.0 35.0 266.030.1% 56.8% 13.2% 100.0%
100.0% 100.0% 100.0% 100.0%
30.1% 56.8% 13.2% 100.0%
CountExpected Count% within Country% within Every dayI visit my children/relatives/ friends% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI visit my children/relatives/ friends% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI visit my children/relatives/ friends% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI visit my children/relatives/ friends% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI visit my children/relatives/ friends% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every dayI visit my children/relatives/ friends% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
Every day I visit my children/relatives/ friends
Total
Chi-Square Tests
57.092a 8 .00065.060 8 .000
1.462 1 .227
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .13.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.149 .054 2.598 .009
.186 .051 3.355 .001
.096 .076 1.196 .232
.073 .020 .000c
.110 .025 .000c
.110 .020 5.385 .000d
.095 .017 5.385 .000d
.129 .023 5.385 .000d
.085 .051 1.665 .096
.095 .056 1.665 .096
.078 .046 1.665 .096
.165
.378
SymmetricCountry DependentEvery day I visit mychildren/ relatives/friends DependentCountry DependentEvery day I visit mychildren/ relatives/friends DependentSymmetricCountry DependentEvery day I visit mychildren/ relatives/friends DependentSymmetricCountry DependentEvery day I visit mychildren/ relatives/friends DependentCountry DependentEvery day I visit mychildren/ relatives/friends Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.463 .000
.328 .000
.420 .000
.086 .051 1.665 .096
.081 .049 1.665 .096
.130 .078 1.665 .096
.103 .058 1.682 .094c
.074 .058 1.210 .227c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
Every day I visit my
Yes
No
Country * Every day I visit / Restaurants / entertainment
Crosstab
12 10 5 2713.2 5.5 8.3 27.0
44.4% 37.0% 18.5% 100.0%
9.2% 18.5% 6.1% 10.2%
4.5% 3.8% 1.9% 10.2%-1.2 4.5 -3.3-.3 1.9 -1.2-.5 2.3 -1.5
0 4 39 4321.0 8.7 13.3 43.0.0% 9.3% 90.7% 100.0%
.0% 7.4% 47.6% 16.2%
.0% 1.5% 14.7% 16.2%-21.0 -4.7 25.7-4.6 -1.6 7.1-7.0 -2.0 9.3
64 11 21 9646.9 19.5 29.6 96.0
66.7% 11.5% 21.9% 100.0%
49.2% 20.4% 25.6% 36.1%
24.1% 4.1% 7.9% 36.1%17.1 -8.5 -8.62.5 -1.9 -1.64.4 -2.7 -2.454 29 16 99
48.4 20.1 30.5 99.054.5% 29.3% 16.2% 100.0%
41.5% 53.7% 19.5% 37.2%
20.3% 10.9% 6.0% 37.2%5.6 8.9 -14.5.8 2.0 -2.6
1.4 2.8 -4.00 0 1 1
.5 .2 .3 1.0.0% .0% 100.0% 100.0%
.0% .0% 1.2% .4%
.0% .0% .4% .4%-.5 -.2 .7-.7 -.5 1.2
-1.0 -.5 1.5130 54 82 266
130.0 54.0 82.0 266.048.9% 20.3% 30.8% 100.0%
100.0% 100.0% 100.0% 100.0%
48.9% 20.3% 30.8% 100.0%
CountExpected Count% within Country% within Every day Ivisit / Restaurants /entertainment% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day Ivisit / Restaurants /entertainment% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day Ivisit / Restaurants /entertainment% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day Ivisit / Restaurants /entertainment% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day Ivisit / Restaurants /entertainment% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Every day Ivisit / Restaurants /entertainment% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
Every day I visit / Restaurants /entertainment
Total
Chi-Square Tests
104.896a 8 .000110.151 8 .000
15.783 1 .000
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .20.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.241 .049 4.435 .000
.198 .071 2.539 .011
.294 .039 6.861 .000
.115 .024 .000c
.217 .027 .000c
.179 .026 6.763 .000d
.161 .023 6.763 .000d
.200 .030 6.763 .000d
.230 .050 4.556 .000
.243 .053 4.556 .000
.219 .047 4.556 .000
.274
.513
SymmetricCountry DependentEvery day I visit /Restaurants /entertainment DependentCountry DependentEvery day I visit /Restaurants /entertainment DependentSymmetricCountry DependentEvery day I visit /Restaurants /entertainment DependentSymmetricCountry DependentEvery day I visit /Restaurants /entertainment DependentCountry DependentEvery day I visit /Restaurants /entertainment Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.628 .000
.444 .000
.532 .000
.230 .050 4.556 .000
.228 .050 4.556 .000
.325 .069 4.556 .000
.276 .058 4.668 .000c
.244 .058 4.089 .000c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
Every day I visit /
Yes
No
Country * I am given assistance and support by
Crosstab
4 1 7 3 0 12 274.7 .1 3.5 .7 .3 17.8 27.0
14.8% 3.7% 25.9% 11.1% .0% 44.4% 100.0%
8.7% 100.0% 20.6% 42.9% .0% 6.9% 10.2%
1.5% .4% 2.6% 1.1% .0% 4.5% 10.2%-.7 .9 3.5 2.3 -.3 -5.8-.3 2.8 1.9 2.7 -.6 -1.4-.4 3.0 2.2 2.9 -.6 -2.5
0 0 2 0 0 41 437.4 .2 5.5 1.1 .5 28.3 43.0
.0% .0% 4.7% .0% .0% 95.3% 100.0%
.0% .0% 5.9% .0% .0% 23.4% 16.2%
.0% .0% .8% .0% .0% 15.4% 16.2%-7.4 -.2 -3.5 -1.1 -.5 12.7-2.7 -.4 -1.5 -1.1 -.7 2.4-3.3 -.4 -1.7 -1.2 -.8 4.5
36 0 14 0 1 45 9616.6 .4 12.3 2.5 1.1 63.2 96.0
37.5% .0% 14.6% .0% 1.0% 46.9% 100.0%
78.3% .0% 41.2% .0% 33.3% 25.7% 36.1%
13.5% .0% 5.3% .0% .4% 16.9% 36.1%19.4 -.4 1.7 -2.5 -.1 -18.24.8 -.6 .5 -1.6 -.1 -2.36.5 -.8 .7 -2.0 -.1 -4.9
6 0 11 4 1 77 9917.1 .4 12.7 2.6 1.1 65.1 99.0
6.1% .0% 11.1% 4.0% 1.0% 77.8% 100.0%
13.0% .0% 32.4% 57.1% 33.3% 44.0% 37.2%
2.3% .0% 4.1% 1.5% .4% 28.9% 37.2%-11.1 -.4 -1.7 1.4 -.1 11.9-2.7 -.6 -.5 .9 -.1 1.5-3.7 -.8 -.6 1.1 -.1 3.2
0 0 0 0 1 0 1.2 .0 .1 .0 .0 .7 1.0
.0% .0% .0% .0% 100.0% .0% 100.0%
.0% .0% .0% .0% 33.3% .0% .4%
.0% .0% .0% .0% .4% .0% .4%-.2 .0 -.1 .0 1.0 -.7-.4 -.1 -.4 -.2 9.3 -.8-.5 -.1 -.4 -.2 9.4 -1.446 1 34 7 3 175 266
46.0 1.0 34.0 7.0 3.0 175.0 266.017.3% .4% 12.8% 2.6% 1.1% 65.8% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
17.3% .4% 12.8% 2.6% 1.1% 65.8% 100.0%
CountExpected Count% within Country% within I amgiven assistanceand support by% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amgiven assistanceand support by% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amgiven assistanceand support by% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amgiven assistanceand support by% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amgiven assistanceand support by% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amgiven assistanceand support by% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing .00
Localauthority
home carers
24-hoursprivate home
carers
Day carecentre for
elderly peopleI have no help
by others
I am given assistance and support by
Total
Chi-Square Tests
167.823a 20 .00089.902 20 .000
1.305 1 .253
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
20 cells (66.7%) have expected count less than 5. The minimumexpected count is .00.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.136 .029 4.232 .000
.204 .045 4.196 .000
.011 .011 1.002 .316
.111 .022 .000c
.137 .028 .000c
.147 .026 5.232 .000d
.132 .024 5.232 .000d
.167 .029 5.232 .000d
-.083 .047 -1.759 .079-.097 .055 -1.759 .079
-.073 .042 -1.759 .079
.190
.442
SymmetricCountry DependentI am given assistanceand support byDependentCountry DependentI am given assistanceand support byDependentSymmetricCountry DependentI am given assistanceand support byDependentSymmetricCountry DependentI am given assistanceand support byDependentCountry DependentI am given assistanceand support byDependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.794 .000
.397 .000
.622 .000-.084 .048 -1.759 .079-.063 .036 -1.759 .079-.134 .075 -1.759 .079
-.094 .056 -1.532 .127c
-.070 .051 -1.143 .254c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
100
80
60
40
20
0
I am given assistanc
Local authority home
carers
24-hours private hom
e carers
Day care centre for
elderly people
I have no help by ot
hers
Country * I need help with shopping
Crosstab
6 13 8 276.4 6.2 14.4 27.0
22.2% 48.1% 29.6% 100.0%
9.5% 21.3% 5.6% 10.2%
2.3% 4.9% 3.0% 10.2%-.4 6.8 -6.4-.2 2.7 -1.7-.2 3.3 -2.6
0 18 25 4310.2 9.9 23.0 43.0.0% 41.9% 58.1% 100.0%
.0% 29.5% 17.6% 16.2%
.0% 6.8% 9.4% 16.2%-10.2 8.1 2.0-3.2 2.6 .4-4.0 3.2 .7
41 17 38 9622.7 22.0 51.2 96.0
42.7% 17.7% 39.6% 100.0%
65.1% 27.9% 26.8% 36.1%
15.4% 6.4% 14.3% 36.1%18.3 -5.0 -13.23.8 -1.1 -1.95.5 -1.5 -3.416 13 70 99
23.4 22.7 52.8 99.016.2% 13.1% 70.7% 100.0%
25.4% 21.3% 49.3% 37.2%
6.0% 4.9% 26.3% 37.2%-7.4 -9.7 17.2-1.5 -2.0 2.4-2.2 -2.9 4.4
0 0 1 1.2 .2 .5 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.2 -.2 .5-.5 -.5 .6-.6 -.5 .963 61 142 266
63.0 61.0 142.0 266.023.7% 22.9% 53.4% 100.0%
100.0% 100.0% 100.0% 100.0%
23.7% 22.9% 53.4% 100.0%
CountExpected Count% within Country% within I needhelp with shopping% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with shopping% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with shopping% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with shopping% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with shopping% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with shopping% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI need help with shopping
Total
Chi-Square Tests
59.637a 8 .00065.734 8 .000
.578 1 .447
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .23.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.131 .053 2.336 .019
.180 .051 3.261 .001
.065 .078 .801 .423
.083 .022 .000c
.110 .027 .000c
.108 .021 4.973 .000d
.096 .019 4.973 .000d
.122 .024 4.973 .000d
-.144 .049 -2.949 .003-.155 .053 -2.949 .003
-.135 .046 -2.949 .003
.299
.361
SymmetricCountry DependentI need help withshopping DependentCountry DependentI need help withshopping DependentSymmetricCountry DependentI need help withshopping DependentSymmetricCountry DependentI need help withshopping DependentCountry DependentI need help withshopping Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.473 .000
.335 .000
.428 .000-.145 .049 -2.949 .003-.141 .048 -2.949 .003-.212 .071 -2.949 .003
-.172 .057 -2.830 .005c
-.047 .053 -.760 .448c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I need help with sho
Yes
No
Country * I need help with cleaning
Crosstab
7 10 10 276.5 4.5 16.0 27.0
25.9% 37.0% 37.0% 100.0%
10.9% 22.7% 6.3% 10.2%
2.6% 3.8% 3.8% 10.2%.5 5.5 -6.0.2 2.6 -1.5.2 3.0 -2.50 10 33 43
10.3 7.1 25.5 43.0.0% 23.3% 76.7% 100.0%
.0% 22.7% 20.9% 16.2%
.0% 3.8% 12.4% 16.2%-10.3 2.9 7.5-3.2 1.1 1.5-4.0 1.3 2.5
44 13 39 9623.1 15.9 57.0 96.0
45.8% 13.5% 40.6% 100.0%
68.8% 29.5% 24.7% 36.1%
16.5% 4.9% 14.7% 36.1%20.9 -2.9 -18.04.3 -.7 -2.46.2 -1.0 -4.713 10 76 99
23.8 16.4 58.8 99.013.1% 10.1% 76.8% 100.0%
20.3% 22.7% 48.1% 37.2%
4.9% 3.8% 28.6% 37.2%-10.8 -6.4 17.2-2.2 -1.6 2.2-3.2 -2.2 4.4
0 1 0 1.2 .2 .6 1.0
.0% 100.0% .0% 100.0%
.0% 2.3% .0% .4%
.0% .4% .0% .4%-.2 .8 -.6-.5 2.1 -.8-.6 2.3 -1.264 44 158 266
64.0 44.0 158.0 266.024.1% 16.5% 59.4% 100.0%
100.0% 100.0% 100.0% 100.0%
24.1% 16.5% 59.4% 100.0%
CountExpected Count% within Country% within I needhelp with cleaning% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with cleaning% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with cleaning% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with cleaning% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with cleaning% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with cleaning% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI need help with cleaning
Total
Chi-Square Tests
65.469a 8 .00070.302 8 .000
1.005 1 .316
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .17.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.145 .056 2.453 .014
.204 .048 3.909 .000
.056 .092 .589 .556
.091 .023 .000c
.135 .031 .000c
.118 .023 5.110 .000d
.103 .020 5.110 .000d
.139 .027 5.110 .000d
-.127 .049 -2.595 .009-.142 .055 -2.595 .009
-.115 .045 -2.595 .009
.205
.421
SymmetricCountry DependentI need help withcleaning DependentCountry DependentI need help withcleaning DependentSymmetricCountry DependentI need help withcleaning DependentSymmetricCountry DependentI need help withcleaning DependentCountry DependentI need help withcleaning Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.496 .000
.351 .000
.444 .000-.128 .050 -2.595 .009-.120 .046 -2.595 .009-.193 .074 -2.595 .009
-.149 .057 -2.453 .015c
-.062 .053 -1.003 .317c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I need help with cle
Yes
No
Country * I need help with cleaning my house
Crosstab
6 13 8 276.1 6.9 14.0 27.0
22.2% 48.1% 29.6% 100.0%
10.0% 19.1% 5.8% 10.2%
2.3% 4.9% 3.0% 10.2%-.1 6.1 -6.0.0 2.3 -1.6.0 2.8 -2.40 14 29 43
9.7 11.0 22.3 43.0.0% 32.6% 67.4% 100.0%
.0% 20.6% 21.0% 16.2%
.0% 5.3% 10.9% 16.2%-9.7 3.0 6.7-3.1 .9 1.4-3.9 1.1 2.2
40 16 40 9621.7 24.5 49.8 96.0
41.7% 16.7% 41.7% 100.0%
66.7% 23.5% 29.0% 36.1%
15.0% 6.0% 15.0% 36.1%18.3 -8.5 -9.83.9 -1.7 -1.45.6 -2.5 -2.514 25 60 99
22.3 25.3 51.4 99.014.1% 25.3% 60.6% 100.0%
23.3% 36.8% 43.5% 37.2%
5.3% 9.4% 22.6% 37.2%-8.3 -.3 8.6-1.8 -.1 1.2-2.5 -.1 2.2
0 0 1 1.2 .3 .5 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.2 -.3 .5-.5 -.5 .7-.5 -.6 1.060 68 138 266
60.0 68.0 138.0 266.022.6% 25.6% 51.9% 100.0%
100.0% 100.0% 100.0% 100.0%
22.6% 25.6% 51.9% 100.0%
CountExpected Count% within Country% within I need helpwith cleaning my house% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith cleaning my house% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith cleaning my house% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith cleaning my house% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith cleaning my house% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith cleaning my house% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI need help with cleaning my house
Total
Chi-Square Tests
46.432a 8 .00053.457 8 .000
.210 1 .647
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .23.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.105 .050 2.038 .042
.156 .040 3.624 .000
.039 .077 .498 .619
.064 .019 .000c
.081 .022 .000c
.087 .018 4.674 .000d
.078 .016 4.674 .000d
.098 .021 4.674 .000d
-.078 .049 -1.604 .109-.083 .052 -1.604 .109
-.073 .046 -1.604 .109
.146
.361
SymmetricCountry DependentI need help with cleaningmy house DependentCountry DependentI need help with cleaningmy house DependentSymmetricCountry DependentI need help with cleaningmy house DependentSymmetricCountry DependentI need help with cleaningmy house DependentCountry DependentI need help with cleaningmy house Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.418 .000
.295 .000
.386 .000-.078 .049 -1.604 .109-.076 .048 -1.604 .109-.116 .072 -1.604 .109
-.089 .057 -1.460 .146c
-.028 .053 -.458 .647c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
I need help with cle
Yes
No
Country * I need help with personal care (bathroom, toilet,...)
Crosstab
7 8 12 276.8 2.6 17.6 27.0
25.9% 29.6% 44.4% 100.0%
10.4% 30.8% 6.9% 10.2%
2.6% 3.0% 4.5% 10.2%.2 5.4 -5.6.1 3.3 -1.3.1 3.7 -2.40 6 37 43
10.8 4.2 28.0 43.0.0% 14.0% 86.0% 100.0%
.0% 23.1% 21.4% 16.2%
.0% 2.3% 13.9% 16.2%-10.8 1.8 9.0-3.3 .9 1.7-4.2 1.0 3.2
46 8 42 9624.2 9.4 62.4 96.0
47.9% 8.3% 43.8% 100.0%
68.7% 30.8% 24.3% 36.1%
17.3% 3.0% 15.8% 36.1%21.8 -1.4 -20.44.4 -.5 -2.66.4 -.6 -5.514 4 81 99
24.9 9.7 64.4 99.014.1% 4.0% 81.8% 100.0%
20.9% 15.4% 46.8% 37.2%
5.3% 1.5% 30.5% 37.2%-10.9 -5.7 16.6-2.2 -1.8 2.1-3.2 -2.4 4.4
0 0 1 1.3 .1 .7 1.0
.0% .0% 100.0% 100.0%
.0% .0% .6% .4%
.0% .0% .4% .4%-.3 -.1 .3-.5 -.3 .4-.6 -.3 .767 26 173 266
67.0 26.0 173.0 266.025.2% 9.8% 65.0% 100.0%
100.0% 100.0% 100.0% 100.0%
25.2% 9.8% 65.0% 100.0%
CountExpected Count% within Country% within I need helpwith personal care(bathroom, toilet,...)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith personal care(bathroom, toilet,...)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith personal care(bathroom, toilet,...)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith personal care(bathroom, toilet,...)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith personal care(bathroom, toilet,...)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith personal care(bathroom, toilet,...)% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I need help with personal care(bathroom, toilet,...)
Total
Chi-Square Tests
66.706a 8 .00072.120 8 .000
.679 1 .410
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
5 cells (33.3%) have expected count less than 5. The minimumexpected count is .10.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.154 .057 2.550 .011
.216 .045 4.394 .000
.043 .099 .427 .670
.097 .024 .000c
.155 .035 .000c
.127 .024 5.182 .000d
.106 .020 5.182 .000d
.159 .030 5.182 .000d
-.123 .050 -2.493 .013-.146 .059 -2.493 .013
-.106 .043 -2.493 .013
.245
.432
SymmetricCountry DependentI need help with personalcare (bathroom, toilet,...)DependentCountry DependentI need help with personalcare (bathroom, toilet,...)DependentSymmetricCountry DependentI need help with personalcare (bathroom, toilet,...)DependentSymmetricCountry DependentI need help with personalcare (bathroom, toilet,...)DependentCountry DependentI need help with personalcare (bathroom, toilet,...)Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.501 .000
.354 .000
.448 .000-.125 .050 -2.493 .013-.111 .044 -2.493 .013-.197 .078 -2.493 .013
-.143 .057 -2.351 .019c
-.051 .053 -.823 .411c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
100
80
60
40
20
0
I need help with per
Yes
No
Country * I need help with nursing care
Crosstab
8 5 14 276.9 3.3 16.7 27.0
29.6% 18.5% 51.9% 100.0%
11.8% 15.2% 8.5% 10.2%
3.0% 1.9% 5.3% 10.2%1.1 1.7 -2.7.4 .9 -.7.5 1.0 -1.10 4 39 43
11.0 5.3 26.7 43.0.0% 9.3% 90.7% 100.0%
.0% 12.1% 23.6% 16.2%
.0% 1.5% 14.7% 16.2%-11.0 -1.3 12.3-3.3 -.6 2.4-4.2 -.7 4.2
46 12 38 9624.5 11.9 59.5 96.0
47.9% 12.5% 39.6% 100.0%
67.6% 36.4% 23.0% 36.1%
17.3% 4.5% 14.3% 36.1%21.5 .1 -21.54.3 .0 -2.86.3 .0 -5.714 12 73 99
25.3 12.3 61.4 99.014.1% 12.1% 73.7% 100.0%
20.6% 36.4% 44.2% 37.2%
5.3% 4.5% 27.4% 37.2%-11.3 -.3 11.6-2.2 -.1 1.5-3.3 -.1 3.0
0 0 1 1.3 .1 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .6% .4%
.0% .0% .4% .4%-.3 -.1 .4-.5 -.4 .5-.6 -.4 .868 33 165 266
68.0 33.0 165.0 266.025.6% 12.4% 62.0% 100.0%
100.0% 100.0% 100.0% 100.0%
25.6% 12.4% 62.0% 100.0%
CountExpected Count% within Country% within I need helpwith nursing care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith nursing care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith nursing care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith nursing care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith nursing care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith nursing care% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI need help with nursing care
Total
Chi-Square Tests
52.883a 8 .00061.583 8 .000
.288 1 .592
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .12.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.149 .054 2.638 .008
.192 .042 4.270 .000
.079 .087 .874 .382
.082 .022 .000c
.136 .032 .000c
.106 .021 5.064 .000d
.090 .018 5.064 .000d
.128 .025 5.064 .000d
-.060 .051 -1.175 .240-.069 .059 -1.175 .240
-.053 .045 -1.175 .240
.045
.438
SymmetricCountry DependentI need help with nursingcare DependentCountry DependentI need help with nursingcare DependentSymmetricCountry DependentI need help with nursingcare DependentSymmetricCountry DependentI need help with nursingcare DependentCountry DependentI need help with nursingcare Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.446 .000
.315 .000
.407 .000-.060 .051 -1.175 .240-.055 .047 -1.175 .240-.095 .080 -1.175 .240
-.067 .058 -1.092 .276c
-.033 .055 -.536 .593c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I need help with nur
Yes
No
Country * I need help to arrange my personal affairs (bank, servises)
Crosstab
7 8 12 277.1 5.7 14.2 27.0
25.9% 29.6% 44.4% 100.0%
10.0% 14.3% 8.6% 10.2%
2.6% 3.0% 4.5% 10.2%-.1 2.3 -2.2.0 1.0 -.6.0 1.2 -.90 23 20 43
11.3 9.1 22.6 43.0.0% 53.5% 46.5% 100.0%
.0% 41.1% 14.3% 16.2%
.0% 8.6% 7.5% 16.2%-11.3 13.9 -2.6-3.4 4.6 -.6-4.3 5.7 -.9
45 15 36 9625.3 20.2 50.5 96.0
46.9% 15.6% 37.5% 100.0%
64.3% 26.8% 25.7% 36.1%
16.9% 5.6% 13.5% 36.1%19.7 -5.2 -14.53.9 -1.2 -2.05.7 -1.6 -3.718 10 71 99
26.1 20.8 52.1 99.018.2% 10.1% 71.7% 100.0%
25.7% 17.9% 50.7% 37.2%
6.8% 3.8% 26.7% 37.2%-8.1 -10.8 18.9-1.6 -2.4 2.6-2.3 -3.4 4.8
0 0 1 1.3 .2 .5 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.3 -.2 .5-.5 -.5 .7-.6 -.5 1.070 56 140 266
70.0 56.0 140.0 266.026.3% 21.1% 52.6% 100.0%
100.0% 100.0% 100.0% 100.0%
26.3% 21.1% 52.6% 100.0%
CountExpected Count% within Country% within I need help toarrange my personalaffairs (bank, servises)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help toarrange my personalaffairs (bank, servises)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help toarrange my personalaffairs (bank, servises)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help toarrange my personalaffairs (bank, servises)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help toarrange my personalaffairs (bank, servises)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help toarrange my personalaffairs (bank, servises)% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I need help to arrange my personalaffairs (bank, servises)
Total
Chi-Square Tests
71.219a 8 .00074.978 8 .000
.453 1 .501
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .21.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.177 .060 2.796 .005
.240 .051 4.217 .000
.095 .084 1.080 .280
.101 .025 .000c
.126 .029 .000c
.123 .023 5.207 .000d
.110 .021 5.207 .000d
.139 .026 5.207 .000d
-.139 .051 -2.768 .006-.149 .055 -2.768 .006
-.131 .048 -2.768 .006
.289
.365
SymmetricCountry DependentI need help to arrange mypersonal affairs (bank,servises) DependentCountry DependentI need help to arrange mypersonal affairs (bank,servises) DependentSymmetricCountry DependentI need help to arrange mypersonal affairs (bank,servises) DependentSymmetricCountry DependentI need help to arrange mypersonal affairs (bank,servises) DependentCountry DependentI need help to arrange mypersonal affairs (bank,servises) Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.517 .000
.366 .000
.460 .000-.140 .051 -2.768 .006-.136 .049 -2.768 .006-.203 .073 -2.768 .006
-.170 .059 -2.805 .005c
-.041 .055 -.672 .502c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I need help to arran
Yes
No
Country * I need help with transport to doctor or to hospital
Crosstab
7 12 8 276.2 6.3 14.5 27.0
25.9% 44.4% 29.6% 100.0%
11.5% 19.4% 5.6% 10.2%
2.6% 4.5% 3.0% 10.2%.8 5.7 -6.5.3 2.3 -1.7.4 2.7 -2.70 10 33 43
9.9 10.0 23.1 43.0.0% 23.3% 76.7% 100.0%
.0% 16.1% 23.1% 16.2%
.0% 3.8% 12.4% 16.2%-9.9 .0 9.9-3.1 .0 2.1-3.9 .0 3.3
38 26 32 9622.0 22.4 51.6 96.0
39.6% 27.1% 33.3% 100.0%
62.3% 41.9% 22.4% 36.1%
14.3% 9.8% 12.0% 36.1%16.0 3.6 -19.63.4 .8 -2.74.9 1.1 -5.016 13 70 99
22.7 23.1 53.2 99.016.2% 13.1% 70.7% 100.0%
26.2% 21.0% 49.0% 37.2%
6.0% 4.9% 26.3% 37.2%-6.7 -10.1 16.8-1.4 -2.1 2.3-2.0 -3.0 4.3
0 1 0 1.2 .2 .5 1.0
.0% 100.0% .0% 100.0%
.0% 1.6% .0% .4%
.0% .4% .0% .4%-.2 .8 -.5-.5 1.6 -.7-.5 1.8 -1.161 62 143 266
61.0 62.0 143.0 266.022.9% 23.3% 53.8% 100.0%
100.0% 100.0% 100.0% 100.0%
22.9% 23.3% 53.8% 100.0%
CountExpected Count% within Country% within I need helpwith transport todoctor or to hospital% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith transport todoctor or to hospital% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith transport todoctor or to hospital% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith transport todoctor or to hospital% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith transport todoctor or to hospital% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need helpwith transport todoctor or to hospital% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I need help with transport to doctoror to hospital
Total
Chi-Square Tests
56.893a 8 .00064.987 8 .000
.370 1 .543
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .23.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.159 .051 2.897 .004
.210 .051 3.723 .000
.089 .074 1.156 .248
.079 .021 .000c
.121 .028 .000c
.106 .021 5.075 .000d
.095 .018 5.075 .000d
.121 .024 5.075 .000d
-.104 .052 -2.029 .042-.112 .056 -2.029 .042
-.097 .048 -2.029 .042
.187
.383
SymmetricCountry DependentI need help withtransport to doctor orto hospital DependentCountry DependentI need help withtransport to doctor orto hospital DependentSymmetricCountry DependentI need help withtransport to doctor orto hospital DependentSymmetricCountry DependentI need help withtransport to doctor orto hospital DependentCountry DependentI need help withtransport to doctor orto hospital Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.462 .000
.327 .000
.420 .000-.104 .052 -2.029 .042-.102 .050 -2.029 .042-.154 .076 -2.029 .042
-.122 .059 -2.000 .047c
-.037 .055 -.608 .544c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I need help with tra
Yes
No
Country * I need help with lonliness (I need company)
Crosstab
7 7 13 276.5 6.3 14.2 27.0
25.9% 25.9% 48.1% 100.0%
10.9% 11.3% 9.3% 10.2%
2.6% 2.6% 4.9% 10.2%.5 .7 -1.2.2 .3 -.3.2 .3 -.50 20 23 43
10.3 10.0 22.6 43.0.0% 46.5% 53.5% 100.0%
.0% 32.3% 16.4% 16.2%
.0% 7.5% 8.6% 16.2%-10.3 10.0 .4-3.2 3.2 .1-4.0 3.9 .1
38 18 40 9623.1 22.4 50.5 96.0
39.6% 18.8% 41.7% 100.0%
59.4% 29.0% 28.6% 36.1%
14.3% 6.8% 15.0% 36.1%14.9 -4.4 -10.53.1 -.9 -1.54.5 -1.3 -2.719 17 63 99
23.8 23.1 52.1 99.019.2% 17.2% 63.6% 100.0%
29.7% 27.4% 45.0% 37.2%
7.1% 6.4% 23.7% 37.2%-4.8 -6.1 10.9-1.0 -1.3 1.5-1.4 -1.8 2.8
0 0 1 1.2 .2 .5 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.2 -.2 .5-.5 -.5 .7-.6 -.6 1.064 62 140 266
64.0 62.0 140.0 266.024.1% 23.3% 52.6% 100.0%
100.0% 100.0% 100.0% 100.0%
24.1% 23.3% 52.6% 100.0%
CountExpected Count% within Country% within I needhelp with lonliness(I need company)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with lonliness(I need company)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with lonliness(I need company)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with lonliness(I need company)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with lonliness(I need company)% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I needhelp with lonliness(I need company)% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I need help with lonliness (I needcompany)
Total
Chi-Square Tests
38.922a 8 .00046.141 8 .000
.005 1 .945
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .23.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.075 .031 2.291 .022
.132 .054 2.291 .022
.000 .000 .c
.c
.052 .018 .000d
.066 .019 .000d
.075 .016 4.571 .000e
.068 .015 4.571 .000e
.085 .018 4.571 .000e
-.070 .051 -1.368 .171-.075 .055 -1.368 .171
-.066 .048 -1.368 .171
.164
.299
SymmetricCountry DependentI need help withlonliness (I needcompany) DependentCountry DependentI need help withlonliness (I needcompany) DependentSymmetricCountry DependentI need help withlonliness (I needcompany) DependentSymmetricCountry DependentI need help withlonliness (I needcompany) DependentCountry DependentI need help withlonliness (I needcompany) Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Cannot be computed because the asymptotic standard error equals zero.c.
Based on chi-square approximationd.
Likelihood ratio chi-square probability.e.
Symmetric Measures
.383 .000
.270 .000
.357 .000-.070 .051 -1.368 .171-.069 .050 -1.368 .171-.105 .076 -1.368 .171
-.085 .059 -1.381 .168c
-.004 .057 -.068 .946c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
I need help with lon
Yes
No
Country * I need help to take care about my pet
Crosstab
8 4 15 278.0 1.2 17.8 27.0
29.6% 14.8% 55.6% 100.0%
10.1% 33.3% 8.6% 10.2%
3.0% 1.5% 5.6% 10.2%.0 2.8 -2.8.0 2.5 -.7.0 2.7 -1.20 2 41 43
12.8 1.9 28.3 43.0.0% 4.7% 95.3% 100.0%
.0% 16.7% 23.4% 16.2%
.0% .8% 15.4% 16.2%-12.8 .1 12.7-3.6 .0 2.4-4.7 .0 4.5
51 4 41 9628.5 4.3 63.2 96.0
53.1% 4.2% 42.7% 100.0%
64.6% 33.3% 23.4% 36.1%
19.2% 1.5% 15.4% 36.1%22.5 -.3 -22.24.2 -.2 -2.86.3 -.2 -6.020 2 77 99
29.4 4.5 65.1 99.020.2% 2.0% 77.8% 100.0%
25.3% 16.7% 44.0% 37.2%
7.5% .8% 28.9% 37.2%-9.4 -2.5 11.9-1.7 -1.2 1.5-2.6 -1.5 3.2
0 0 1 1.3 .0 .7 1.0
.0% .0% 100.0% 100.0%
.0% .0% .6% .4%
.0% .0% .4% .4%-.3 .0 .3-.5 -.2 .4-.7 -.2 .779 12 175 266
79.0 12.0 175.0 266.029.7% 4.5% 65.8% 100.0%
100.0% 100.0% 100.0% 100.0%
29.7% 4.5% 65.8% 100.0%
CountExpected Count% within Country% within I need help totake care about my pet% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help totake care about my pet% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help totake care about my pet% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help totake care about my pet% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help totake care about my pet% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I need help totake care about my pet% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I need help to take care about mypet
Total
Chi-Square Tests
57.856a 8 .00066.193 8 .000
.011 1 .915
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
7 cells (46.7%) have expected count less than 5. The minimumexpected count is .05.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.167 .059 2.646 .008
.198 .047 3.865 .000
.110 .099 1.045 .296
.083 .022 .000c
.166 .037 .000c
.121 .022 5.291 .000d
.097 .018 5.291 .000d
.160 .030 5.291 .000d
-.043 .052 -.831 .406-.053 .063 -.831 .406
-.036 .044 -.831 .406
.152
.431
SymmetricCountry DependentI need help to take careabout my pet DependentCountry DependentI need help to take careabout my pet DependentSymmetricCountry DependentI need help to take careabout my pet DependentSymmetricCountry DependentI need help to take careabout my pet DependentCountry DependentI need help to take careabout my pet Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.466 .000
.330 .000
.423 .000-.044 .052 -.831 .406-.038 .045 -.831 .406-.072 .086 -.831 .406
-.049 .058 -.799 .425c
.007 .055 .106 .916c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
100
80
60
40
20
0
I need help to take
Yes
No
Country * I feel lonely
Crosstab
11 2 5 2 6 1 276.2 8.0 4.9 2.1 3.6 2.2 27.0
40.7% 7.4% 18.5% 7.4% 22.2% 3.7% 100.0%18.0% 2.5% 10.4% 9.5% 17.1% 4.5% 10.2%4.1% .8% 1.9% .8% 2.3% .4% 10.2%
4.8 -6.0 .1 -.1 2.4 -1.21.9 -2.1 .1 -.1 1.3 -.82.3 -2.7 .1 -.1 1.5 -.9
0 22 7 3 4 7 439.9 12.8 7.8 3.4 5.7 3.6 43.0
.0% 51.2% 16.3% 7.0% 9.3% 16.3% 100.0%
.0% 27.8% 14.6% 14.3% 11.4% 31.8% 16.2%
.0% 8.3% 2.6% 1.1% 1.5% 2.6% 16.2%-9.9 9.2 -.8 -.4 -1.7 3.4-3.1 2.6 -.3 -.2 -.7 1.8-3.9 3.4 -.3 -.2 -.8 2.1
41 11 18 11 14 1 9622.0 28.5 17.3 7.6 12.6 7.9 96.0
42.7% 11.5% 18.8% 11.5% 14.6% 1.0% 100.0%67.2% 13.9% 37.5% 52.4% 40.0% 4.5% 36.1%15.4% 4.1% 6.8% 4.1% 5.3% .4% 36.1%
19.0 -17.5 .7 3.4 1.4 -6.94.0 -3.3 .2 1.2 .4 -2.55.8 -4.9 .2 1.6 .5 -3.2
8 44 18 5 11 13 9922.7 29.4 17.9 7.8 13.0 8.2 99.0
8.1% 44.4% 18.2% 5.1% 11.1% 13.1% 100.0%13.1% 55.7% 37.5% 23.8% 31.4% 59.1% 37.2%3.0% 16.5% 6.8% 1.9% 4.1% 4.9% 37.2%-14.7 14.6 .1 -2.8 -2.0 4.8-3.1 2.7 .0 -1.0 -.6 1.7-4.4 4.1 .0 -1.3 -.8 2.2
1 0 0 0 0 0 1.2 .3 .2 .1 .1 .1 1.0
100.0% .0% .0% .0% .0% .0% 100.0%1.6% .0% .0% .0% .0% .0% .4%.4% .0% .0% .0% .0% .0% .4%
.8 -.3 -.2 -.1 -.1 -.11.6 -.5 -.4 -.3 -.4 -.31.8 -.7 -.5 -.3 -.4 -.361 79 48 21 35 22 266
61.0 79.0 48.0 21.0 35.0 22.0 266.022.9% 29.7% 18.0% 7.9% 13.2% 8.3% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%22.9% 29.7% 18.0% 7.9% 13.2% 8.3% 100.0%
CountExpected Count% within Country% within I feel lonely% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel lonely% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel lonely% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel lonely% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel lonely% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel lonely% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
I feel lonely
Total
Chi-Square Tests
90.302a 20 .000104.413 20 .000
.841 1 .359
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
12 cells (40.0%) have expected count less than 5. The minimumexpected count is .08.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.232 .038 5.622 .000
.251 .049 4.600 .000
.214 .039 5.165 .000
.134 .023 .000c
.095 .017 .000c
.132 .020 6.536 .000d
.153 .023 6.536 .000d
.117 .018 6.536 .000d
-.037 .050 -.750 .453-.035 .047 -.750 .453-.040 .054 -.750 .453.178.316
SymmetricCountry DependentI feel lonely DependentCountry DependentI feel lonely DependentSymmetricCountry DependentI feel lonely DependentSymmetricCountry DependentI feel lonely DependentCountry DependentI feel lonely Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.583 .000
.291 .000
.503 .000-.038 .050 -.750 .453-.035 .046 -.750 .453-.049 .065 -.750 .453
-.045 .061 -.738 .461c
-.056 .062 -.917 .360c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
I feel lonely
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * Gender
Crosstab
8 19 278.4 18.6 27.0
29.6% 70.4% 100.0%9.6% 10.4% 10.2%3.0% 7.1% 10.2%
-.4 .4-.1 .1-.2 .219 24 43
13.4 29.6 43.044.2% 55.8% 100.0%22.9% 13.1% 16.2%7.1% 9.0% 16.2%
5.6 -5.61.5 -1.02.0 -2.027 69 96
30.0 66.0 96.028.1% 71.9% 100.0%32.5% 37.7% 36.1%10.2% 25.9% 36.1%
-3.0 3.0-.5 .4-.8 .828 71 99
30.9 68.1 99.028.3% 71.7% 100.0%33.7% 38.8% 37.2%10.5% 26.7% 37.2%
-2.9 2.9-.5 .4-.8 .8
1 0 1.3 .7 1.0
100.0% .0% 100.0%1.2% .0% .4%.4% .0% .4%
.7 -.71.2 -.81.5 -1.583 183 266
83.0 183.0 266.031.2% 68.8% 100.0%
100.0% 100.0% 100.0%31.2% 68.8% 100.0%
CountExpected Count% within Country% within Gender% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Gender% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Gender% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Gender% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Gender% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Gender% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Male FemaleGender
Total
Chi-Square Tests
6.429a 4 .1696.374 4 .173
.713 1 .398
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
2 cells (20.0%) have expected count less than 5. The minimumexpected count is .31.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.004 .004 1.002 .316
.000 .000 .c .c
.012 .012 1.002 .316
.005 .005 .296d
.024 .016 .171d
.013 .009 1.357 .173e
.009 .007 1.357 .173e
.019 .014 1.357 .173e
-.053 .056 -.939 .348-.069 .073 -.939 .348-.043 .045 -.939 .348.052.155
SymmetricCountry DependentGender DependentCountry DependentGender DependentSymmetricCountry DependentGender DependentSymmetricCountry DependentGender DependentCountry DependentGender Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Cannot be computed because the asymptotic standard error equals zero.c.
Based on chi-square approximationd.
Likelihood ratio chi-square probability.e.
Symmetric Measures
.155 .169
.155 .169
.154 .169-.054 .058 -.939 .348-.059 .063 -.939 .348-.098 .103 -.939 .348
-.058 .062 -.952 .342c
-.052 .062 -.844 .399c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
Gender
Male
Female
Country * I am satisfied with my life
Crosstab
6 0 2 1 14 4 273.8 1.5 1.6 3.3 9.3 7.4 27.0
22.2% .0% 7.4% 3.7% 51.9% 14.8% 100.0%
16.2% .0% 12.5% 3.0% 15.2% 5.5% 10.2%
2.3% .0% .8% .4% 5.3% 1.5% 10.2%2.2 -1.5 .4 -2.3 4.7 -3.41.2 -1.2 .3 -1.3 1.5 -1.31.3 -1.3 .3 -1.4 2.0 -1.6
0 2 5 8 11 17 436.0 2.4 2.6 5.3 14.9 11.8 43.0
.0% 4.7% 11.6% 18.6% 25.6% 39.5% 100.0%
.0% 13.3% 31.3% 24.2% 12.0% 23.3% 16.2%
.0% .8% 1.9% 3.0% 4.1% 6.4% 16.2%-6.0 -.4 2.4 2.7 -3.9 5.2-2.4 -.3 1.5 1.2 -1.0 1.5-2.9 -.3 1.7 1.3 -1.4 1.9
28 4 8 12 33 11 9613.4 5.4 5.8 11.9 33.2 26.3 96.0
29.2% 4.2% 8.3% 12.5% 34.4% 11.5% 100.0%
75.7% 26.7% 50.0% 36.4% 35.9% 15.1% 36.1%
10.5% 1.5% 3.0% 4.5% 12.4% 4.1% 36.1%14.6 -1.4 2.2 .1 -.2 -15.34.0 -.6 .9 .0 .0 -3.05.4 -.8 1.2 .0 -.1 -4.4
3 8 1 12 34 41 9913.8 5.6 6.0 12.3 34.2 27.2 99.0
3.0% 8.1% 1.0% 12.1% 34.3% 41.4% 100.0%
8.1% 53.3% 6.3% 36.4% 37.0% 56.2% 37.2%
1.1% 3.0% .4% 4.5% 12.8% 15.4% 37.2%-10.8 2.4 -5.0 -.3 -.2 13.8-2.9 1.0 -2.0 -.1 .0 2.7-3.9 1.3 -2.6 -.1 -.1 3.9
0 1 0 0 0 0 1.1 .1 .1 .1 .3 .3 1.0
.0% 100.0% .0% .0% .0% .0% 100.0%
.0% 6.7% .0% .0% .0% .0% .4%
.0% .4% .0% .0% .0% .0% .4%-.1 .9 -.1 -.1 -.3 -.3-.4 4.0 -.2 -.4 -.6 -.5-.4 4.1 -.3 -.4 -.7 -.637 15 16 33 92 73 266
37.0 15.0 16.0 33.0 92.0 73.0 266.013.9% 5.6% 6.0% 12.4% 34.6% 27.4% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
13.9% 5.6% 6.0% 12.4% 34.6% 27.4% 100.0%
CountExpected Count% within Country% within I amsatisfied with my life% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amsatisfied with my life% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amsatisfied with my life% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amsatisfied with my life% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amsatisfied with my life% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I amsatisfied with my life% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
I am satisfied with my life
Total
Chi-Square Tests
85.042a 20 .00084.846 20 .000
3.076 1 .079
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
12 cells (40.0%) have expected count less than 5. The minimumexpected count is .06.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.135 .032 3.944 .000
.192 .034 5.322 .000
.080 .056 1.378 .168
.109 .021 .000c
.065 .014 .000c
.111 .019 5.565 .000d
.124 .022 5.565 .000d
.101 .018 5.565 .000d
-.129 .050 -2.620 .009-.123 .047 -2.620 .009
-.136 .053 -2.620 .009
.237
.394
SymmetricCountry DependentI am satisfied withmy life DependentCountry DependentI am satisfied withmy life DependentSymmetricCountry DependentI am satisfied withmy life DependentSymmetricCountry DependentI am satisfied withmy life DependentCountry DependentI am satisfied withmy life Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.565 .000
.283 .000
.492 .000-.129 .050 -2.620 .009-.118 .045 -2.620 .009-.173 .066 -2.620 .009
-.156 .060 -2.569 .011c
-.108 .056 -1.761 .079c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
I am satisfied with
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * I feel that my family cares about me
Crosstab
9 0 0 1 13 4 273.8 1.0 .5 .9 9.0 11.8 27.0
33.3% .0% .0% 3.7% 48.1% 14.8% 100.0%
24.3% .0% .0% 11.1% 14.6% 3.4% 10.2%
3.4% .0% .0% .4% 4.9% 1.5% 10.2%5.2 -1.0 -.5 .1 4.0 -7.82.7 -1.0 -.7 .1 1.3 -2.33.1 -1.1 -.8 .1 1.7 -3.2
0 3 2 4 18 16 436.0 1.6 .8 1.5 14.4 18.8 43.0
.0% 7.0% 4.7% 9.3% 41.9% 37.2% 100.0%
.0% 30.0% 40.0% 44.4% 20.2% 13.8% 16.2%
.0% 1.1% .8% 1.5% 6.8% 6.0% 16.2%-6.0 1.4 1.2 2.5 3.6 -2.8-2.4 1.1 1.3 2.1 1.0 -.6-2.9 1.2 1.5 2.3 1.3 -.9
25 1 2 3 38 27 9613.4 3.6 1.8 3.2 32.1 41.9 96.0
26.0% 1.0% 2.1% 3.1% 39.6% 28.1% 100.0%
67.6% 10.0% 40.0% 33.3% 42.7% 23.3% 36.1%
9.4% .4% .8% 1.1% 14.3% 10.2% 36.1%11.6 -2.6 .2 -.2 5.9 -14.93.2 -1.4 .1 -.1 1.0 -2.34.3 -1.8 .2 -.2 1.6 -3.8
3 5 1 1 20 69 9913.8 3.7 1.9 3.3 33.1 43.2 99.0
3.0% 5.1% 1.0% 1.0% 20.2% 69.7% 100.0%
8.1% 50.0% 20.0% 11.1% 22.5% 59.5% 37.2%
1.1% 1.9% .4% .4% 7.5% 25.9% 37.2%-10.8 1.3 -.9 -2.3 -13.1 25.8-2.9 .7 -.6 -1.3 -2.3 3.9-3.9 .9 -.8 -1.6 -3.5 6.6
0 1 0 0 0 0 1.1 .0 .0 .0 .3 .4 1.0
.0% 100.0% .0% .0% .0% .0% 100.0%
.0% 10.0% .0% .0% .0% .0% .4%
.0% .4% .0% .0% .0% .0% .4%-.1 1.0 .0 .0 -.3 -.4-.4 5.0 -.1 -.2 -.6 -.7-.4 5.1 -.1 -.2 -.7 -.937 10 5 9 89 116 266
37.0 10.0 5.0 9.0 89.0 116.0 266.013.9% 3.8% 1.9% 3.4% 33.5% 43.6% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
13.9% 3.8% 1.9% 3.4% 33.5% 43.6% 100.0%
CountExpected Count% within Country% within I feel that myfamily cares about me% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel that myfamily cares about me% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel that myfamily cares about me% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel that myfamily cares about me% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel that myfamily cares about me% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I feel that myfamily cares about me% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
I feel that my family cares about me
Total
Chi-Square Tests
106.013a 20 .00094.201 20 .000
12.375 1 .000
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
19 cells (63.3%) have expected count less than 5. The minimumexpected count is .02.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.211 .047 4.077 .000
.263 .050 4.725 .000
.153 .066 2.145 .032
.122 .025 .000c
.114 .025 .000c
.136 .024 5.583 .000d
.138 .024 5.583 .000d
.135 .023 5.583 .000d
-.289 .049 -6.017 .000-.293 .050 -6.017 .000
-.285 .048 -6.017 .000
.369
.377
SymmetricCountry DependentI feel that my family caresabout me DependentCountry DependentI feel that my family caresabout me DependentSymmetricCountry DependentI feel that my family caresabout me DependentSymmetricCountry DependentI feel that my family caresabout me DependentCountry DependentI feel that my family caresabout me Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.631 .000
.316 .000
.534 .000-.289 .049 -6.017 .000-.247 .041 -6.017 .000-.399 .065 -6.017 .000
-.337 .056 -5.817 .000c
-.216 .058 -3.596 .000c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I feel that my famil
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * Is there a Voluntary Organisation for support for Elder people in your city?
Crosstab
4 20 3 274.8 9.7 12.5 27.0
14.8% 74.1% 11.1% 100.0%
8.5% 20.8% 2.4% 10.2%
1.5% 7.5% 1.1% 10.2%-.8 10.3 -9.5-.4 3.3 -2.7-.4 4.3 -3.9
0 0 43 437.6 15.5 19.9 43.0
.0% .0% 100.0% 100.0%
.0% .0% 35.0% 16.2%
.0% .0% 16.2% 16.2%-7.6 -15.5 23.1-2.8 -3.9 5.2-3.3 -5.4 7.7
32 32 32 9617.0 34.6 44.4 96.0
33.3% 33.3% 33.3% 100.0%
68.1% 33.3% 26.0% 36.1%
12.0% 12.0% 12.0% 36.1%15.0 -2.6 -12.43.7 -.4 -1.95.0 -.7 -3.211 44 44 99
17.5 35.7 45.8 99.011.1% 44.4% 44.4% 100.0%
23.4% 45.8% 35.8% 37.2%
4.1% 16.5% 16.5% 37.2%-6.5 8.3 -1.8-1.6 1.4 -.3-2.2 2.2 -.5
0 0 1 1.2 .4 .5 1.0
.0% .0% 100.0% 100.0%
.0% .0% .8% .4%
.0% .0% .4% .4%-.2 -.4 .5-.4 -.6 .8-.5 -.8 1.147 96 123 266
47.0 96.0 123.0 266.017.7% 36.1% 46.2% 100.0%
100.0% 100.0% 100.0% 100.0%
17.7% 36.1% 46.2% 100.0%
CountExpected Count% within Country% within Is there aVoluntary Organisationfor support for Elderpeople in your city?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Is there aVoluntary Organisationfor support for Elderpeople in your city?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Is there aVoluntary Organisationfor support for Elderpeople in your city?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Is there aVoluntary Organisationfor support for Elderpeople in your city?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Is there aVoluntary Organisationfor support for Elderpeople in your city?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Is there aVoluntary Organisationfor support for Elderpeople in your city?% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
Is there a Voluntary Organisation forsupport for Elder people in your city?
Total
Chi-Square Tests
90.664a 8 .000105.894 8 .000
.264 1 .608
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .18.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.123 .051 2.285 .022
.126 .037 3.266 .001
.119 .087 1.289 .197
.096 .021 .000c
.194 .021 .000c
.172 .023 7.268 .000d
.155 .020 7.268 .000d
.193 .026 7.268 .000d
.039 .050 .789 .430
.042 .053 .789 .430
.037 .047 .789 .430
.038
.406
SymmetricCountry DependentIs there a VoluntaryOrganisation for supportfor Elder people in yourcity? DependentCountry DependentIs there a VoluntaryOrganisation for supportfor Elder people in yourcity? DependentSymmetricCountry DependentIs there a VoluntaryOrganisation for supportfor Elder people in yourcity? DependentSymmetricCountry DependentIs there a VoluntaryOrganisation for supportfor Elder people in yourcity? DependentCountry DependentIs there a VoluntaryOrganisation for supportfor Elder people in yourcity? Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.584 .000
.413 .000
.504 .000
.039 .050 .789 .430
.039 .049 .789 .430
.058 .073 .789 .430
.054 .058 .881 .379c
.032 .050 .513 .609c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
Is there a Voluntary
Yes
No
Country * Are you interested in developing of the idea to establish a Centre for Elder people?
Crosstab
6 7 14 274.7 17.7 4.7 27.0
22.2% 25.9% 51.9% 100.0%
13.0% 4.0% 30.4% 10.2%
2.3% 2.6% 5.3% 10.2%1.3 -10.7 9.3.6 -2.5 4.3.7 -4.6 5.00 38 5 43
7.4 28.1 7.4 43.0.0% 88.4% 11.6% 100.0%
.0% 21.8% 10.9% 16.2%
.0% 14.3% 1.9% 16.2%-7.4 9.9 -2.4-2.7 1.9 -.9-3.3 3.5 -1.1
35 46 15 9616.6 62.8 16.6 96.0
36.5% 47.9% 15.6% 100.0%
76.1% 26.4% 32.6% 36.1%
13.2% 17.3% 5.6% 36.1%18.4 -16.8 -1.64.5 -2.1 -.46.2 -4.5 -.5
5 83 11 9917.1 64.8 17.1 99.0
5.1% 83.8% 11.1% 100.0%
10.9% 47.7% 23.9% 37.2%
1.9% 31.2% 4.1% 37.2%-12.1 18.2 -6.1-2.9 2.3 -1.5-4.1 4.9 -2.1
0 0 1 1.2 .7 .2 1.0
.0% .0% 100.0% 100.0%
.0% .0% 2.2% .4%
.0% .0% .4% .4%-.2 -.7 .8-.4 -.8 2.0-.5 -1.4 2.246 174 46 266
46.0 174.0 46.0 266.017.3% 65.4% 17.3% 100.0%
100.0% 100.0% 100.0% 100.0%
17.3% 65.4% 17.3% 100.0%
CountExpected Count% within Country% within Are youinterested in developingof the idea to establish aCentre for Elder people?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are youinterested in developingof the idea to establish aCentre for Elder people?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are youinterested in developingof the idea to establish aCentre for Elder people?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are youinterested in developingof the idea to establish aCentre for Elder people?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are youinterested in developingof the idea to establish aCentre for Elder people?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are youinterested in developingof the idea to establish aCentre for Elder people?% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
Are you interested in developing ofthe idea to establish a Centre for
Elder people?Total
Chi-Square Tests
82.887a 8 .00082.887 8 .000
.014 1 .906
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
5 cells (33.3%) have expected count less than 5. The minimumexpected count is .17.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.162 .031 4.656 .000
.204 .043 4.330 .000
.087 .049 1.715 .086
.105 .023 .000c
.176 .036 .000c
.144 .027 5.220 .000d
.121 .023 5.220 .000d
.176 .033 5.220 .000d
.032 .054 .589 .556
.038 .064 .589 .556
.028 .047 .589 .556
.245
.358
SymmetricCountry DependentAre you interested indeveloping of the idea toestablish a Centre forElder people? DependentCountry DependentAre you interested indeveloping of the idea toestablish a Centre forElder people? DependentSymmetricCountry DependentAre you interested indeveloping of the idea toestablish a Centre forElder people? DependentSymmetricCountry DependentAre you interested indeveloping of the idea toestablish a Centre forElder people? DependentCountry DependentAre you interested indeveloping of the idea toestablish a Centre forElder people? Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.558 .000
.395 .000
.487 .000
.032 .055 .589 .556
.029 .049 .589 .556
.051 .086 .589 .556
.040 .062 .645 .520c
-.007 .058 -.117 .907c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
100
80
60
40
20
0
Are you interested i
Yes
No
Country * Are there enough opportunities for entertainment and participating in activities in your area?
Crosstab
6 9 12 274.6 6.8 15.6 27.0
22.2% 33.3% 44.4% 100.0%
13.3% 13.4% 7.8% 10.2%
2.3% 3.4% 4.5% 10.2%1.4 2.2 -3.6.7 .8 -.9.8 1.0 -1.50 5 38 43
7.3 10.8 24.9 43.0.0% 11.6% 88.4% 100.0%
.0% 7.5% 24.7% 16.2%
.0% 1.9% 14.3% 16.2%-7.3 -5.8 13.1-2.7 -1.8 2.6-3.2 -2.2 4.4
33 42 21 9616.2 24.2 55.6 96.0
34.4% 43.8% 21.9% 100.0%
73.3% 62.7% 13.6% 36.1%
12.4% 15.8% 7.9% 36.1%16.8 17.8 -34.64.2 3.6 -4.65.7 5.2 -8.9
6 11 82 9916.7 24.9 57.3 99.0
6.1% 11.1% 82.8% 100.0%
13.3% 16.4% 53.2% 37.2%
2.3% 4.1% 30.8% 37.2%-10.7 -13.9 24.7-2.6 -2.8 3.3-3.6 -4.1 6.3
0 0 1 1.2 .3 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .6% .4%
.0% .0% .4% .4%-.2 -.3 .4-.4 -.5 .6-.5 -.6 .945 67 154 266
45.0 67.0 154.0 266.016.9% 25.2% 57.9% 100.0%
100.0% 100.0% 100.0% 100.0%
16.9% 25.2% 57.9% 100.0%
CountExpected Count% within Country% within Are thereenough opportunitiesfor entertainment andparticipating inactivities in your area?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are thereenough opportunitiesfor entertainment andparticipating inactivities in your area?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are thereenough opportunitiesfor entertainment andparticipating inactivities in your area?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are thereenough opportunitiesfor entertainment andparticipating inactivities in your area?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are thereenough opportunitiesfor entertainment andparticipating inactivities in your area?% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Are thereenough opportunitiesfor entertainment andparticipating inactivities in your area?% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
Are there enough opportunities forentertainment and participating in
activities in your area?Total
Chi-Square Tests
97.301a 8 .000108.184 8 .000
2.952 1 .086
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .17.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.283 .046 5.381 .000
.347 .046 6.511 .000
.188 .064 2.681 .007
.169 .030 .000c
.230 .036 .000c
.181 .029 6.264 .000d
.158 .026 6.264 .000d
.211 .033 6.264 .000d
-.169 .053 -3.191 .001-.187 .059 -3.191 .001
-.154 .049 -3.191 .001
.154
.500
SymmetricCountry DependentAre there enoughopportunities forentertainment andparticipating in activities inyour area? DependentCountry DependentAre there enoughopportunities forentertainment andparticipating in activities inyour area? DependentSymmetricCountry DependentAre there enoughopportunities forentertainment andparticipating in activities inyour area? DependentSymmetricCountry DependentAre there enoughopportunities forentertainment andparticipating in activities inyour area? DependentCountry DependentAre there enoughopportunities forentertainment andparticipating in activities inyour area? Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.605 .000
.428 .000
.518 .000-.170 .054 -3.191 .001-.161 .050 -3.191 .001-.246 .076 -3.191 .001
-.193 .060 -3.200 .002c
-.106 .054 -1.724 .086c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
100
80
60
40
20
0
Are there enough opp
Yes
No
Country * A centre for older people I would like to offer to me a better health care
Crosstab
6 0 1 5 11 4 272.6 1.1 .4 1.5 9.8 11.5 27.0
22.2% .0% 3.7% 18.5% 40.7% 14.8% 100.0%
23.1% .0% 25.0% 33.3% 11.3% 3.5% 10.2%
2.3% .0% .4% 1.9% 4.1% 1.5% 10.2%3.4 -1.1 .6 3.5 1.2 -7.52.1 -1.1 .9 2.8 .4 -2.22.3 -1.1 1.0 3.1 .5 -3.1
0 0 0 1 31 11 434.2 1.8 .6 2.4 15.7 18.3 43.0
.0% .0% .0% 2.3% 72.1% 25.6% 100.0%
.0% .0% .0% 6.7% 32.0% 9.7% 16.2%
.0% .0% .0% .4% 11.7% 4.1% 16.2%-4.2 -1.8 -.6 -1.4 15.3 -7.3-2.1 -1.3 -.8 -.9 3.9 -1.7-2.4 -1.5 -.9 -1.0 5.3 -2.4
15 8 2 5 38 28 969.4 4.0 1.4 5.4 35.0 40.8 96.0
15.6% 8.3% 2.1% 5.2% 39.6% 29.2% 100.0%
57.7% 72.7% 50.0% 33.3% 39.2% 24.8% 36.1%
5.6% 3.0% .8% 1.9% 14.3% 10.5% 36.1%5.6 4.0 .6 -.4 3.0 -12.81.8 2.0 .5 -.2 .5 -2.02.4 2.6 .6 -.2 .8 -3.3
5 2 1 4 17 70 999.7 4.1 1.5 5.6 36.1 42.1 99.0
5.1% 2.0% 1.0% 4.0% 17.2% 70.7% 100.0%
19.2% 18.2% 25.0% 26.7% 17.5% 61.9% 37.2%
1.9% .8% .4% 1.5% 6.4% 26.3% 37.2%-4.7 -2.1 -.5 -1.6 -19.1 27.9-1.5 -1.0 -.4 -.7 -3.2 4.3-2.0 -1.3 -.5 -.9 -5.0 7.2
0 1 0 0 0 0 1.1 .0 .0 .1 .4 .4 1.0
.0% 100.0% .0% .0% .0% .0% 100.0%
.0% 9.1% .0% .0% .0% .0% .4%
.0% .4% .0% .0% .0% .0% .4%-.1 1.0 .0 -.1 -.4 -.4-.3 4.7 -.1 -.2 -.6 -.7-.3 4.8 -.1 -.2 -.8 -.926 11 4 15 97 113 266
26.0 11.0 4.0 15.0 97.0 113.0 266.09.8% 4.1% 1.5% 5.6% 36.5% 42.5% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
9.8% 4.1% 1.5% 5.6% 36.5% 42.5% 100.0%
CountExpected Count% within Country% within A centre for olderpeople I would like to offerto me a better health care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me a better health care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me a better health care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me a better health care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me a better health care% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me a better health care% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me a better health care
Total
Chi-Square Tests
112.287a 20 .00097.019 20 .000
7.648 1 .006
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
18 cells (60.0%) have expected count less than 5. The minimumexpected count is .02.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.241 .046 4.646 .000
.234 .052 4.082 .000
.248 .063 3.490 .000
.122 .026 .000c
.144 .030 .000c
.140 .025 5.453 .000d
.142 .025 5.453 .000d
.139 .025 5.453 .000d
-.296 .050 -6.026 .000-.301 .052 -6.026 .000
-.291 .049 -6.026 .000
.412
.341
SymmetricCountry DependentA centre for olderpeople I would like tooffer to me a betterhealth care DependentCountry DependentA centre for olderpeople I would like tooffer to me a betterhealth care DependentSymmetricCountry DependentA centre for olderpeople I would like tooffer to me a betterhealth care DependentSymmetricCountry DependentA centre for olderpeople I would like tooffer to me a betterhealth care DependentCountry DependentA centre for olderpeople I would like tooffer to me a betterhealth care Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.650 .000
.325 .000
.545 .000-.296 .050 -6.026 .000-.253 .042 -6.026 .000-.408 .066 -6.026 .000
-.345 .057 -5.965 .000c
-.170 .060 -2.801 .005c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
A centre for older p
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * A centre for older people I would like to offer to me lectures/presentations related to popular interests
Crosstab
8 0 0 1 14 4 276.0 .5 .9 5.0 8.1 6.5 27.0
29.6% .0% .0% 3.7% 51.9% 14.8% 100.0%
13.6% .0% .0% 2.0% 17.5% 6.3% 10.2%
3.0% .0% .0% .4% 5.3% 1.5% 10.2%2.0 -.5 -.9 -4.0 5.9 -2.5.8 -.7 -1.0 -1.8 2.1 -1.0
1.0 -.8 -1.0 -2.1 2.6 -1.20 0 2 20 14 7 43
9.5 .8 1.5 7.9 12.9 10.3 43.0.0% .0% 4.7% 46.5% 32.6% 16.3% 100.0%
.0% .0% 22.2% 40.8% 17.5% 10.9% 16.2%
.0% .0% .8% 7.5% 5.3% 2.6% 16.2%-9.5 -.8 .5 12.1 1.1 -3.3-3.1 -.9 .5 4.3 .3 -1.0-3.8 -1.0 .5 5.2 .4 -1.3
45 2 4 20 19 6 9621.3 1.8 3.2 17.7 28.9 23.1 96.0
46.9% 2.1% 4.2% 20.8% 19.8% 6.3% 100.0%
76.3% 40.0% 44.4% 40.8% 23.8% 9.4% 36.1%
16.9% .8% 1.5% 7.5% 7.1% 2.3% 36.1%23.7 .2 .8 2.3 -9.9 -17.15.1 .1 .4 .6 -1.8 -3.67.3 .2 .5 .8 -2.7 -5.1
6 2 3 8 33 47 9922.0 1.9 3.3 18.2 29.8 23.8 99.0
6.1% 2.0% 3.0% 8.1% 33.3% 47.5% 100.0%
10.2% 40.0% 33.3% 16.3% 41.3% 73.4% 37.2%
2.3% .8% 1.1% 3.0% 12.4% 17.7% 37.2%-16.0 .1 -.3 -10.2 3.2 23.2-3.4 .1 -.2 -2.4 .6 4.7-4.9 .1 -.2 -3.3 .9 6.9
0 1 0 0 0 0 1.2 .0 .0 .2 .3 .2 1.0
.0% 100.0% .0% .0% .0% .0% 100.0%
.0% 20.0% .0% .0% .0% .0% .4%
.0% .4% .0% .0% .0% .0% .4%-.2 1.0 .0 -.2 -.3 -.2-.5 7.2 -.2 -.4 -.5 -.5-.5 7.2 -.2 -.5 -.7 -.659 5 9 49 80 64 266
59.0 5.0 9.0 49.0 80.0 64.0 266.022.2% 1.9% 3.4% 18.4% 30.1% 24.1% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
22.2% 1.9% 3.4% 18.4% 30.1% 24.1% 100.0%
CountExpected Count% within Country% within A centre forolder people I would liketo offer to melectures/presentationsrelated to popularinterests% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to melectures/presentationsrelated to popularinterests% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to melectures/presentationsrelated to popularinterests% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to melectures/presentationsrelated to popularinterests% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to melectures/presentationsrelated to popularinterests% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to melectures/presentationsrelated to popularinterests% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me lectures/presentationsrelated to popular interests
Total
Chi-Square Tests
176.051a 20 .000139.634 20 .000
5.529 1 .019
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
15 cells (50.0%) have expected count less than 5. The minimumexpected count is .02.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.280 .045 5.550 .000
.311 .046 5.971 .000
.253 .062 3.597 .000
.198 .031 .000c
.139 .023 .000c
.186 .026 6.917 .000d
.205 .029 6.917 .000d
.171 .024 6.917 .000d
-.223 .050 -4.552 .000-.212 .047 -4.552 .000
-.234 .053 -4.552 .000
.320
.525
SymmetricCountry DependentA centre for older people Iwould like to offer to melectures/presentationsrelated to popularinterests DependentCountry DependentA centre for older people Iwould like to offer to melectures/presentationsrelated to popularinterests DependentSymmetricCountry DependentA centre for older people Iwould like to offer to melectures/presentationsrelated to popularinterests DependentSymmetricCountry DependentA centre for older people Iwould like to offer to melectures/presentationsrelated to popularinterests DependentCountry DependentA centre for older people Iwould like to offer to melectures/presentationsrelated to popularinterests Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.814 .000
.407 .000
.631 .000-.223 .050 -4.552 .000-.203 .045 -4.552 .000-.289 .064 -4.552 .000
-.285 .059 -4.837 .000c
-.144 .055 -2.372 .018c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
A centre for older p
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * A centre for older people I would like to offer to me visits/trips
Crosstab
4 0 0 3 14 6 274.6 .5 1.5 2.4 9.3 8.6 27.0
14.8% .0% .0% 11.1% 51.9% 22.2% 100.0%
8.9% .0% .0% 12.5% 15.2% 7.1% 10.2%
1.5% .0% .0% 1.1% 5.3% 2.3% 10.2%-.6 -.5 -1.5 .6 4.7 -2.6-.3 -.7 -1.2 .4 1.5 -.9-.3 -.8 -1.3 .4 2.0 -1.1
0 0 3 6 22 12 437.3 .8 2.4 3.9 14.9 13.7 43.0
.0% .0% 7.0% 14.0% 51.2% 27.9% 100.0%
.0% .0% 20.0% 25.0% 23.9% 14.1% 16.2%
.0% .0% 1.1% 2.3% 8.3% 4.5% 16.2%-7.3 -.8 .6 2.1 7.1 -1.7-2.7 -.9 .4 1.1 1.8 -.5-3.2 -1.0 .4 1.2 2.5 -.6
37 3 7 8 29 12 9616.2 1.8 5.4 8.7 33.2 30.7 96.0
38.5% 3.1% 7.3% 8.3% 30.2% 12.5% 100.0%
82.2% 60.0% 46.7% 33.3% 31.5% 14.1% 36.1%
13.9% 1.1% 2.6% 3.0% 10.9% 4.5% 36.1%20.8 1.2 1.6 -.7 -4.2 -18.75.2 .9 .7 -.2 -.7 -3.47.1 1.1 .9 -.3 -1.1 -5.1
4 2 5 6 27 55 9916.7 1.9 5.6 8.9 34.2 31.6 99.0
4.0% 2.0% 5.1% 6.1% 27.3% 55.6% 100.0%
8.9% 40.0% 33.3% 25.0% 29.3% 64.7% 37.2%
1.5% .8% 1.9% 2.3% 10.2% 20.7% 37.2%-12.7 .1 -.6 -2.9 -7.2 23.4-3.1 .1 -.2 -1.0 -1.2 4.2-4.3 .1 -.3 -1.3 -1.9 6.4
0 0 0 1 0 0 1.2 .0 .1 .1 .3 .3 1.0
.0% .0% .0% 100.0% .0% .0% 100.0%
.0% .0% .0% 4.2% .0% .0% .4%
.0% .0% .0% .4% .0% .0% .4%-.2 .0 -.1 .9 -.3 -.3-.4 -.1 -.2 3.0 -.6 -.6-.5 -.1 -.2 3.2 -.7 -.745 5 15 24 92 85 266
45.0 5.0 15.0 24.0 92.0 85.0 266.016.9% 1.9% 5.6% 9.0% 34.6% 32.0% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
16.9% 1.9% 5.6% 9.0% 34.6% 32.0% 100.0%
CountExpected Count% within Country% within A centre forolder people I would liketo offer to me visits/trips% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to me visits/trips% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to me visits/trips% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to me visits/trips% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to me visits/trips% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I would liketo offer to me visits/trips% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me visits/trips
Total
Chi-Square Tests
97.727a 20 .00099.359 20 .000
1.829 1 .176
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
15 cells (50.0%) have expected count less than 5. The minimumexpected count is .02.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.226 .049 4.273 .000
.240 .059 3.622 .000
.213 .062 3.085 .002
.152 .027 .000c
.107 .023 .000c
.135 .022 5.950 .000d
.146 .024 5.950 .000d
.126 .021 5.950 .000d
-.177 .048 -3.734 .000-.172 .047 -3.734 .000
-.183 .050 -3.734 .000
.274
.489
SymmetricCountry DependentA centre for older peopleI would like to offer to mevisits/trips DependentCountry DependentA centre for older peopleI would like to offer to mevisits/trips DependentSymmetricCountry DependentA centre for older peopleI would like to offer to mevisits/trips DependentSymmetricCountry DependentA centre for older peopleI would like to offer to mevisits/trips DependentCountry DependentA centre for older peopleI would like to offer to mevisits/trips Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.606 .000
.303 .000
.518 .000-.178 .048 -3.734 .000-.159 .043 -3.734 .000-.238 .064 -3.734 .000
-.223 .059 -3.717 .000c
-.083 .049 -1.355 .177c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
60
50
40
30
20
10
0
A centre for older p
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * A centre for older people I would like to offer to me entertainment opportunities
Crosstab
6 0 0 1 15 5 276.0 .6 1.2 2.9 5.9 10.4 27.0
22.2% .0% .0% 3.7% 55.6% 18.5% 100.0%
10.2% .0% .0% 3.4% 25.9% 4.9% 10.2%
2.3% .0% .0% .4% 5.6% 1.9% 10.2%.0 -.6 -1.2 -1.9 9.1 -5.4.0 -.8 -1.1 -1.1 3.8 -1.7.0 -.8 -1.2 -1.3 4.5 -2.20 0 1 3 10 29 43
9.5 1.0 1.9 4.7 9.4 16.5 43.0.0% .0% 2.3% 7.0% 23.3% 67.4% 100.0%
.0% .0% 8.3% 10.3% 17.2% 28.4% 16.2%
.0% .0% .4% 1.1% 3.8% 10.9% 16.2%-9.5 -1.0 -.9 -1.7 .6 12.5-3.1 -1.0 -.7 -.8 .2 3.1-3.8 -1.1 -.8 -.9 .3 4.3
50 3 8 17 14 4 9621.3 2.2 4.3 10.5 20.9 36.8 96.0
52.1% 3.1% 8.3% 17.7% 14.6% 4.2% 100.0%
84.7% 50.0% 66.7% 58.6% 24.1% 3.9% 36.1%
18.8% 1.1% 3.0% 6.4% 5.3% 1.5% 36.1%28.7 .8 3.7 6.5 -6.9 -32.86.2 .6 1.8 2.0 -1.5 -5.48.8 .7 2.3 2.7 -2.1 -8.6
3 3 3 7 19 64 9922.0 2.2 4.5 10.8 21.6 38.0 99.0
3.0% 3.0% 3.0% 7.1% 19.2% 64.6% 100.0%
5.1% 50.0% 25.0% 24.1% 32.8% 62.7% 37.2%
1.1% 1.1% 1.1% 2.6% 7.1% 24.1% 37.2%-19.0 .8 -1.5 -3.8 -2.6 26.0-4.0 .5 -.7 -1.2 -.6 4.2-5.8 .7 -.9 -1.5 -.8 6.8
0 0 0 1 0 0 1.2 .0 .0 .1 .2 .4 1.0
.0% .0% .0% 100.0% .0% .0% 100.0%
.0% .0% .0% 3.4% .0% .0% .4%
.0% .0% .0% .4% .0% .0% .4%-.2 .0 .0 .9 -.2 -.4-.5 -.2 -.2 2.7 -.5 -.6-.5 -.2 -.2 2.9 -.5 -.859 6 12 29 58 102 266
59.0 6.0 12.0 29.0 58.0 102.0 266.022.2% 2.3% 4.5% 10.9% 21.8% 38.3% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
22.2% 2.3% 4.5% 10.9% 21.8% 38.3% 100.0%
CountExpected Count% within Country% within A centre for olderpeople I would like to offerto me entertainmentopportunities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me entertainmentopportunities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me entertainmentopportunities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me entertainmentopportunities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me entertainmentopportunities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me entertainmentopportunities% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me entertainment opportunities
Total
Chi-Square Tests
163.630a 20 .000181.101 20 .000
2.374 1 .123
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
16 cells (53.3%) have expected count less than 5. The minimumexpected count is .02.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.360 .037 8.216 .000
.371 .045 7.229 .000
.348 .043 7.194 .000
.255 .029 .000c
.217 .029 .000c
.245 .027 9.111 .000d
.265 .029 9.111 .000d
.227 .026 9.111 .000d
-.162 .051 -3.252 .001-.157 .049 -3.252 .001
-.168 .053 -3.252 .001
.262
.660
SymmetricCountry DependentA centre for older people Iwould like to offer to meentertainmentopportunities DependentCountry DependentA centre for older people Iwould like to offer to meentertainmentopportunities DependentSymmetricCountry DependentA centre for older people Iwould like to offer to meentertainmentopportunities DependentSymmetricCountry DependentA centre for older people Iwould like to offer to meentertainmentopportunities DependentCountry DependentA centre for older people Iwould like to offer to meentertainmentopportunities Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.784 .000
.392 .000
.617 .000-.162 .051 -3.252 .001-.146 .045 -3.252 .001-.208 .065 -3.252 .001
-.197 .063 -3.272 .001c
-.095 .051 -1.545 .124c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
A centre for older p
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * A centre for older people I would like to offer to me opportunities for increasing activities
Crosstab
6 0 0 0 18 3 276.1 .6 .6 2.5 8.4 8.7 27.0
22.2% .0% .0% .0% 66.7% 11.1% 100.0%
10.0% .0% .0% .0% 21.7% 3.5% 10.2%
2.3% .0% .0% .0% 6.8% 1.1% 10.2%-.1 -.6 -.6 -2.5 9.6 -5.7.0 -.8 -.8 -1.6 3.3 -1.9.0 -.8 -.8 -1.8 4.2 -2.50 0 1 1 22 19 43
9.7 1.0 1.0 4.0 13.4 13.9 43.0.0% .0% 2.3% 2.3% 51.2% 44.2% 100.0%
.0% .0% 16.7% 4.0% 26.5% 22.1% 16.2%
.0% .0% .4% .4% 8.3% 7.1% 16.2%-9.7 -1.0 .0 -3.0 8.6 5.1-3.1 -1.0 .0 -1.5 2.3 1.4-3.9 -1.1 .0 -1.7 3.1 1.8
49 3 1 16 23 4 9621.7 2.2 2.2 9.0 30.0 31.0 96.0
51.0% 3.1% 1.0% 16.7% 24.0% 4.2% 100.0%
81.7% 50.0% 16.7% 64.0% 27.7% 4.7% 36.1%
18.4% 1.1% .4% 6.0% 8.6% 1.5% 36.1%27.3 .8 -1.2 7.0 -7.0 -27.05.9 .6 -.8 2.3 -1.3 -4.98.4 .7 -1.0 3.1 -1.9 -7.4
5 2 4 8 20 60 9922.3 2.2 2.2 9.3 30.9 32.0 99.0
5.1% 2.0% 4.0% 8.1% 20.2% 60.6% 100.0%
8.3% 33.3% 66.7% 32.0% 24.1% 69.8% 37.2%
1.9% .8% 1.5% 3.0% 7.5% 22.6% 37.2%-17.3 -.2 1.8 -1.3 -10.9 28.0-3.7 -.2 1.2 -.4 -2.0 4.9-5.3 -.2 1.5 -.6 -3.0 7.6
0 1 0 0 0 0 1.2 .0 .0 .1 .3 .3 1.0
.0% 100.0% .0% .0% .0% .0% 100.0%
.0% 16.7% .0% .0% .0% .0% .4%
.0% .4% .0% .0% .0% .0% .4%-.2 1.0 .0 -.1 -.3 -.3-.5 6.5 -.2 -.3 -.6 -.6-.5 6.6 -.2 -.3 -.7 -.760 6 6 25 83 86 266
60.0 6.0 6.0 25.0 83.0 86.0 266.022.6% 2.3% 2.3% 9.4% 31.2% 32.3% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
22.6% 2.3% 2.3% 9.4% 31.2% 32.3% 100.0%
CountExpected Count% within Country% within A centre for olderpeople I would like to offerto me opportunities forincreasing activities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me opportunities forincreasing activities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me opportunities forincreasing activities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me opportunities forincreasing activities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me opportunities forincreasing activities% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre for olderpeople I would like to offerto me opportunities forincreasing activities% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me opportunities for increasingactivities
Total
Chi-Square Tests
191.474a 20 .000174.306 20 .000
1.743 1 .187
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
16 cells (53.3%) have expected count less than 5. The minimumexpected count is .02.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.346 .041 7.097 .000
.335 .055 5.240 .000
.356 .048 6.381 .000
.245 .031 .000c
.201 .028 .000c
.239 .028 8.454 .000d
.255 .029 8.454 .000d
.225 .027 8.454 .000d
-.170 .051 -3.390 .001-.165 .049 -3.390 .001
-.175 .053 -3.390 .001
.389
.599
SymmetricCountry DependentA centre for older peopleI would like to offer tome opportunities forincreasing activitiesDependentCountry DependentA centre for older peopleI would like to offer tome opportunities forincreasing activitiesDependentSymmetricCountry DependentA centre for older peopleI would like to offer tome opportunities forincreasing activitiesDependentSymmetricCountry DependentA centre for older peopleI would like to offer tome opportunities forincreasing activitiesDependentCountry DependentA centre for older peopleI would like to offer tome opportunities forincreasing activitiesDependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.848 .000
.424 .000
.647 .000-.170 .051 -3.390 .001-.152 .045 -3.390 .001-.220 .066 -3.390 .001
-.215 .062 -3.578 .000c
-.081 .051 -1.322 .187c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
A centre for older p
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * A centre for older people I would like to offer to me food
Crosstab
11 0 2 2 9 3 277.8 1.1 2.2 3.8 6.5 5.6 27.0
40.7% .0% 7.4% 7.4% 33.3% 11.1% 100.0%
14.3% .0% 9.1% 5.4% 14.1% 5.5% 10.2%
4.1% .0% .8% .8% 3.4% 1.1% 10.2%3.2 -1.1 -.2 -1.8 2.5 -2.61.1 -1.1 -.2 -.9 1.0 -1.11.4 -1.1 -.2 -1.0 1.2 -1.3
0 2 3 1 30 7 4312.4 1.8 3.6 6.0 10.3 8.9 43.0.0% 4.7% 7.0% 2.3% 69.8% 16.3% 100.0%
.0% 18.2% 13.6% 2.7% 46.9% 12.7% 16.2%
.0% .8% 1.1% .4% 11.3% 2.6% 16.2%-12.4 .2 -.6 -5.0 19.7 -1.9-3.5 .2 -.3 -2.0 6.1 -.6-4.6 .2 -.3 -2.4 7.7 -.8
58 1 6 18 9 4 9627.8 4.0 7.9 13.4 23.1 19.8 96.0
60.4% 1.0% 6.3% 18.8% 9.4% 4.2% 100.0%
75.3% 9.1% 27.3% 48.6% 14.1% 7.3% 36.1%
21.8% .4% 2.3% 6.8% 3.4% 1.5% 36.1%30.2 -3.0 -1.9 4.6 -14.1 -15.85.7 -1.5 -.7 1.3 -2.9 -3.68.5 -1.9 -.9 1.7 -4.2 -5.0
8 8 11 15 16 41 9928.7 4.1 8.2 13.8 23.8 20.5 99.0
8.1% 8.1% 11.1% 15.2% 16.2% 41.4% 100.0%
10.4% 72.7% 50.0% 40.5% 25.0% 74.5% 37.2%
3.0% 3.0% 4.1% 5.6% 6.0% 15.4% 37.2%-20.7 3.9 2.8 1.2 -7.8 20.5-3.9 1.9 1.0 .3 -1.6 4.5-5.8 2.5 1.3 .5 -2.3 6.4
0 0 0 1 0 0 1.3 .0 .1 .1 .2 .2 1.0
.0% .0% .0% 100.0% .0% .0% 100.0%
.0% .0% .0% 2.7% .0% .0% .4%
.0% .0% .0% .4% .0% .0% .4%-.3 .0 -.1 .9 -.2 -.2-.5 -.2 -.3 2.3 -.5 -.5-.6 -.2 -.3 2.5 -.6 -.577 11 22 37 64 55 266
77.0 11.0 22.0 37.0 64.0 55.0 266.028.9% 4.1% 8.3% 13.9% 24.1% 20.7% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
28.9% 4.1% 8.3% 13.9% 24.1% 20.7% 100.0%
CountExpected Count% within Country% within A centre forolder people I wouldlike to offer to me food% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I wouldlike to offer to me food% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I wouldlike to offer to me food% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I wouldlike to offer to me food% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I wouldlike to offer to me food% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within A centre forolder people I wouldlike to offer to me food% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
A centre for older people I would like to offer to me food
Total
Chi-Square Tests
167.324a 20 .000170.835 20 .000
3.442 1 .064
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
13 cells (43.3%) have expected count less than 5. The minimumexpected count is .04.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.368 .041 8.519 .000
.401 .056 5.919 .000
.339 .038 7.963 .000
.251 .035 .000c
.187 .027 .000c
.220 .027 8.070 .000d
.250 .031 8.070 .000d
.196 .025 8.070 .000d
-.132 .052 -2.589 .010-.125 .048 -2.589 .010
-.141 .056 -2.589 .010
.400
.581
SymmetricCountry DependentA centre for older peopleI would like to offer to mefood DependentCountry DependentA centre for older peopleI would like to offer to mefood DependentSymmetricCountry DependentA centre for older peopleI would like to offer to mefood DependentSymmetricCountry DependentA centre for older peopleI would like to offer to mefood DependentCountry DependentA centre for older peopleI would like to offer to mefood Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.793 .000
.397 .000
.621 .000-.133 .052 -2.589 .010-.123 .047 -2.589 .010-.167 .065 -2.589 .010
-.169 .063 -2.782 .006c
-.114 .057 -1.864 .063c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
A centre for older p
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * Elderly people don't need lectures, theatrical plays and trips, they only need caring and food.
Crosstab
3 11 10 1 2 0 273.0 9.2 8.4 2.3 2.6 1.3 27.0
11.1% 40.7% 37.0% 3.7% 7.4% .0% 100.0%
10.0% 12.1% 12.0% 4.3% 7.7% .0% 10.2%
1.1% 4.1% 3.8% .4% .8% .0% 10.2%.0 1.8 1.6 -1.3 -.6 -1.3.0 .6 .5 -.9 -.4 -1.1.0 .8 .7 -1.0 -.4 -1.20 5 19 5 8 6 43
4.8 14.7 13.4 3.7 4.2 2.1 43.0.0% 11.6% 44.2% 11.6% 18.6% 14.0% 100.0%
.0% 5.5% 22.9% 21.7% 30.8% 46.2% 16.2%
.0% 1.9% 7.1% 1.9% 3.0% 2.3% 16.2%-4.8 -9.7 5.6 1.3 3.8 3.9-2.2 -2.5 1.5 .7 1.9 2.7-2.6 -3.4 2.0 .8 2.1 3.0
24 21 32 10 7 2 9610.8 32.8 30.0 8.3 9.4 4.7 96.0
25.0% 21.9% 33.3% 10.4% 7.3% 2.1% 100.0%
80.0% 23.1% 38.6% 43.5% 26.9% 15.4% 36.1%
9.0% 7.9% 12.0% 3.8% 2.6% .8% 36.1%13.2 -11.8 2.0 1.7 -2.4 -2.74.0 -2.1 .4 .6 -.8 -1.25.3 -3.2 .6 .8 -1.0 -1.6
3 53 22 7 9 5 9911.2 33.9 30.9 8.6 9.7 4.8 99.0
3.0% 53.5% 22.2% 7.1% 9.1% 5.1% 100.0%
10.0% 58.2% 26.5% 30.4% 34.6% 38.5% 37.2%
1.1% 19.9% 8.3% 2.6% 3.4% 1.9% 37.2%-8.2 19.1 -8.9 -1.6 -.7 .2-2.4 3.3 -1.6 -.5 -.2 .1-3.3 5.1 -2.4 -.7 -.3 .1
0 1 0 0 0 0 1.1 .3 .3 .1 .1 .0 1.0
.0% 100.0% .0% .0% .0% .0% 100.0%
.0% 1.1% .0% .0% .0% .0% .4%
.0% .4% .0% .0% .0% .0% .4%-.1 .7 -.3 -.1 -.1 .0-.3 1.1 -.6 -.3 -.3 -.2-.4 1.4 -.7 -.3 -.3 -.230 91 83 23 26 13 266
30.0 91.0 83.0 23.0 26.0 13.0 266.011.3% 34.2% 31.2% 8.6% 9.8% 4.9% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
11.3% 34.2% 31.2% 8.6% 9.8% 4.9% 100.0%
CountExpected Count% within Country% within Elderly peopledon't need lectures,theatrical plays andtrips, they only needcaring and food.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderly peopledon't need lectures,theatrical plays andtrips, they only needcaring and food.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderly peopledon't need lectures,theatrical plays andtrips, they only needcaring and food.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderly peopledon't need lectures,theatrical plays andtrips, they only needcaring and food.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderly peopledon't need lectures,theatrical plays andtrips, they only needcaring and food.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderly peopledon't need lectures,theatrical plays andtrips, they only needcaring and food.% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
Elderly people don't need lectures, theatrical plays and trips, they only needcaring and food.
Total
Chi-Square Tests
72.088a 20 .00075.520 20 .000
.742 1 .389
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
16 cells (53.3%) have expected count less than 5. The minimumexpected count is .05.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.175 .042 3.902 .000
.210 .056 3.426 .001
.143 .046 2.894 .004
.108 .024 .000c
.069 .017 .000c
.100 .020 5.028 .000d
.111 .022 5.028 .000d
.091 .018 5.028 .000d
.102 .048 2.109 .035
.098 .047 2.109 .035
.106 .050 2.109 .035
.224
.339
SymmetricCountry DependentElderly people don'tneed lectures, theatricalplays and trips, theyonly need caring andfood. DependentCountry DependentElderly people don'tneed lectures, theatricalplays and trips, theyonly need caring andfood. DependentSymmetricCountry DependentElderly people don'tneed lectures, theatricalplays and trips, theyonly need caring andfood. DependentSymmetricCountry DependentElderly people don'tneed lectures, theatricalplays and trips, theyonly need caring andfood. DependentCountry DependentElderly people don'tneed lectures, theatricalplays and trips, theyonly need caring andfood. Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.521 .000
.260 .000
.462 .000
.102 .048 2.109 .035
.092 .044 2.109 .035
.137 .065 2.109 .035
.128 .059 2.105 .036c
.053 .053 .861 .390c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
60
50
40
30
20
10
0
Elderly people don't
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * Young people need good company more than elderly people.
Crosstab
3 8 13 2 1 0 273.5 8.5 8.6 2.3 3.0 1.0 27.0
11.1% 29.6% 48.1% 7.4% 3.7% .0% 100.0%
8.8% 9.5% 15.3% 8.7% 3.3% .0% 10.2%
1.1% 3.0% 4.9% .8% .4% .0% 10.2%-.5 -.5 4.4 -.3 -2.0 -1.0-.2 -.2 1.5 -.2 -1.2 -1.0-.3 -.2 1.9 -.2 -1.3 -1.1
0 15 20 1 5 2 435.5 13.6 13.7 3.7 4.8 1.6 43.0
.0% 34.9% 46.5% 2.3% 11.6% 4.7% 100.0%
.0% 17.9% 23.5% 4.3% 16.7% 20.0% 16.2%
.0% 5.6% 7.5% .4% 1.9% .8% 16.2%-5.5 1.4 6.3 -2.7 .2 .4-2.3 .4 1.7 -1.4 .1 .3-2.7 .5 2.2 -1.6 .1 .3
28 15 26 9 14 4 9612.3 30.3 30.7 8.3 10.8 3.6 96.0
29.2% 15.6% 27.1% 9.4% 14.6% 4.2% 100.0%
82.4% 17.9% 30.6% 39.1% 46.7% 40.0% 36.1%
10.5% 5.6% 9.8% 3.4% 5.3% 1.5% 36.1%15.7 -15.3 -4.7 .7 3.2 .44.5 -2.8 -.8 .2 1.0 .26.0 -4.2 -1.3 .3 1.3 .3
3 45 26 11 10 4 9912.7 31.3 31.6 8.6 11.2 3.7 99.0
3.0% 45.5% 26.3% 11.1% 10.1% 4.0% 100.0%
8.8% 53.6% 30.6% 47.8% 33.3% 40.0% 37.2%
1.1% 16.9% 9.8% 4.1% 3.8% 1.5% 37.2%-9.7 13.7 -5.6 2.4 -1.2 .3-2.7 2.5 -1.0 .8 -.3 .1-3.7 3.7 -1.5 1.1 -.5 .2
0 1 0 0 0 0 1.1 .3 .3 .1 .1 .0 1.0
.0% 100.0% .0% .0% .0% .0% 100.0%
.0% 1.2% .0% .0% .0% .0% .4%
.0% .4% .0% .0% .0% .0% .4%-.1 .7 -.3 -.1 -.1 .0-.4 1.2 -.6 -.3 -.3 -.2-.4 1.5 -.7 -.3 -.4 -.234 84 85 23 30 10 266
34.0 84.0 85.0 23.0 30.0 10.0 266.012.8% 31.6% 32.0% 8.6% 11.3% 3.8% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
12.8% 31.6% 32.0% 8.6% 11.3% 3.8% 100.0%
CountExpected Count% within Country% within Young peopleneed good companymore than elderly people.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Young peopleneed good companymore than elderly people.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Young peopleneed good companymore than elderly people.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Young peopleneed good companymore than elderly people.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Young peopleneed good companymore than elderly people.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Young peopleneed good companymore than elderly people.% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
Young people need good company more than elderly people.
Total
Chi-Square Tests
62.377a 20 .00068.586 20 .000
.311 1 .577
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
15 cells (50.0%) have expected count less than 5. The minimumexpected count is .04.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.147 .041 3.383 .001
.174 .040 4.028 .000
.122 .058 1.974 .048
.100 .022 .000c
.059 .015 .000c
.090 .018 4.976 .000d
.100 .020 4.976 .000d
.082 .016 4.976 .000d
-.002 .043 -.055 .956-.002 .042 -.055 .956
-.002 .045 -.055 .956
.201
.201
SymmetricCountry DependentYoung people needgood companymore than elderlypeople. DependentCountry DependentYoung people needgood companymore than elderlypeople. DependentSymmetricCountry DependentYoung people needgood companymore than elderlypeople. DependentSymmetricCountry DependentYoung people needgood companymore than elderlypeople. DependentCountry DependentYoung people needgood companymore than elderlypeople. Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.484 .000
.242 .000
.436 .000-.002 .043 -.055 .956-.002 .039 -.055 .956-.003 .059 -.055 .956
.001 .054 .017 .986c
-.034 .047 -.557 .578c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
Young people need go
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * People, in spite of their age, want to learn and be active.
Crosstab
4 0 1 0 15 7 273.2 .5 1.0 2.6 9.2 10.4 27.0
14.8% .0% 3.7% .0% 55.6% 25.9% 100.0%
12.5% .0% 10.0% .0% 16.5% 6.9% 10.2%
1.5% .0% .4% .0% 5.6% 2.6% 10.2%.8 -.5 .0 -2.6 5.8 -3.4.4 -.7 .0 -1.6 1.9 -1.0.5 -.8 .0 -1.8 2.5 -1.40 1 7 4 15 16 43
5.2 .8 1.6 4.2 14.7 16.5 43.0.0% 2.3% 16.3% 9.3% 34.9% 37.2% 100.0%
.0% 20.0% 70.0% 15.4% 16.5% 15.7% 16.2%
.0% .4% 2.6% 1.5% 5.6% 6.0% 16.2%-5.2 .2 5.4 -.2 .3 -.5-2.3 .2 4.2 -.1 .1 -.1-2.6 .2 4.7 -.1 .1 -.2
25 2 1 19 37 12 9611.5 1.8 3.6 9.4 32.8 36.8 96.0
26.0% 2.1% 1.0% 19.8% 38.5% 12.5% 100.0%
78.1% 40.0% 10.0% 73.1% 40.7% 11.8% 36.1%
9.4% .8% .4% 7.1% 13.9% 4.5% 36.1%13.5 .2 -2.6 9.6 4.2 -24.84.0 .1 -1.4 3.1 .7 -4.15.3 .2 -1.8 4.1 1.1 -6.5
3 2 1 3 23 67 9911.9 1.9 3.7 9.7 33.9 38.0 99.0
3.0% 2.0% 1.0% 3.0% 23.2% 67.7% 100.0%
9.4% 40.0% 10.0% 11.5% 25.3% 65.7% 37.2%
1.1% .8% .4% 1.1% 8.6% 25.2% 37.2%-8.9 .1 -2.7 -6.7 -10.9 29.0-2.6 .1 -1.4 -2.1 -1.9 4.7-3.5 .1 -1.8 -2.9 -2.9 7.6
0 0 0 0 1 0 1.1 .0 .0 .1 .3 .4 1.0
.0% .0% .0% .0% 100.0% .0% 100.0%
.0% .0% .0% .0% 1.1% .0% .4%
.0% .0% .0% .0% .4% .0% .4%-.1 .0 .0 -.1 .7 -.4-.3 -.1 -.2 -.3 1.1 -.6-.4 -.1 -.2 -.3 1.4 -.832 5 10 26 91 102 266
32.0 5.0 10.0 26.0 91.0 102.0 266.012.0% 1.9% 3.8% 9.8% 34.2% 38.3% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
12.0% 1.9% 3.8% 9.8% 34.2% 38.3% 100.0%
CountExpected Count% within Country% within People, inspite of their age, wantto learn and be active.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within People, inspite of their age, wantto learn and be active.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within People, inspite of their age, wantto learn and be active.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within People, inspite of their age, wantto learn and be active.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within People, inspite of their age, wantto learn and be active.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within People, inspite of their age, wantto learn and be active.% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
People, in spite of their age, want to learn and be active.
Total
Chi-Square Tests
116.754a 20 .000118.888 20 .000
5.656 1 .017
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
17 cells (56.7%) have expected count less than 5. The minimumexpected count is .02.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.278 .041 6.038 .000
.347 .053 5.651 .000
.207 .046 4.134 .000
.190 .032 .000c
.129 .024 .000c
.166 .025 6.410 .000d
.174 .027 6.410 .000d
.158 .024 6.410 .000d
-.256 .050 -5.255 .000-.253 .049 -5.255 .000
-.258 .051 -5.255 .000
.315
.421
SymmetricCountry DependentPeople, in spite of theirage, want to learn andbe active. DependentCountry DependentPeople, in spite of theirage, want to learn andbe active. DependentSymmetricCountry DependentPeople, in spite of theirage, want to learn andbe active. DependentSymmetricCountry DependentPeople, in spite of theirage, want to learn andbe active. DependentCountry DependentPeople, in spite of theirage, want to learn andbe active. Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.663 .000
.331 .000
.552 .000-.256 .050 -5.255 .000-.224 .043 -5.255 .000-.343 .065 -5.255 .000
-.308 .058 -5.258 .000c
-.146 .052 -2.400 .017c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
70
60
50
40
30
20
10
0
People, in spite of
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * Elderly people can enjoy life as younger people do.
Crosstab
4 0 1 1 13 8 272.6 1.0 2.1 1.5 11.6 8.1 27.0
14.8% .0% 3.7% 3.7% 48.1% 29.6% 100.0%
15.4% .0% 4.8% 6.7% 11.4% 10.0% 10.2%
1.5% .0% .4% .4% 4.9% 3.0% 10.2%1.4 -1.0 -1.1 -.5 1.4 -.1.8 -1.0 -.8 -.4 .4 .0.9 -1.1 -.9 -.5 .6 -.10 1 2 0 18 22 43
4.2 1.6 3.4 2.4 18.4 12.9 43.0.0% 2.3% 4.7% .0% 41.9% 51.2% 100.0%
.0% 10.0% 9.5% .0% 15.8% 27.5% 16.2%
.0% .4% .8% .0% 6.8% 8.3% 16.2%-4.2 -.6 -1.4 -2.4 -.4 9.1-2.1 -.5 -.8 -1.6 -.1 2.5-2.4 -.5 -.9 -1.8 -.1 3.3
19 1 2 4 47 23 969.4 3.6 7.6 5.4 41.1 28.9 96.0
19.8% 1.0% 2.1% 4.2% 49.0% 24.0% 100.0%
73.1% 10.0% 9.5% 26.7% 41.2% 28.8% 36.1%
7.1% .4% .8% 1.5% 17.7% 8.6% 36.1%9.6 -2.6 -5.6 -1.4 5.9 -5.93.1 -1.4 -2.0 -.6 .9 -1.14.1 -1.8 -2.6 -.8 1.5 -1.6
3 8 16 10 35 27 999.7 3.7 7.8 5.6 42.4 29.8 99.0
3.0% 8.1% 16.2% 10.1% 35.4% 27.3% 100.0%
11.5% 80.0% 76.2% 66.7% 30.7% 33.8% 37.2%
1.1% 3.0% 6.0% 3.8% 13.2% 10.2% 37.2%-6.7 4.3 8.2 4.4 -7.4 -2.8-2.1 2.2 2.9 1.9 -1.1 -.5-2.9 2.9 3.8 2.4 -1.9 -.8
0 0 0 0 1 0 1.1 .0 .1 .1 .4 .3 1.0
.0% .0% .0% .0% 100.0% .0% 100.0%
.0% .0% .0% .0% .9% .0% .4%
.0% .0% .0% .0% .4% .0% .4%-.1 .0 -.1 -.1 .6 -.3-.3 -.2 -.3 -.2 .9 -.5-.3 -.2 -.3 -.2 1.2 -.726 10 21 15 114 80 266
26.0 10.0 21.0 15.0 114.0 80.0 266.09.8% 3.8% 7.9% 5.6% 42.9% 30.1% 100.0%
100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
9.8% 3.8% 7.9% 5.6% 42.9% 30.1% 100.0%
CountExpected Count% within Country% within Elderlypeople can enjoy lifeas younger people do.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderlypeople can enjoy lifeas younger people do.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderlypeople can enjoy lifeas younger people do.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderlypeople can enjoy lifeas younger people do.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderlypeople can enjoy lifeas younger people do.% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within Elderlypeople can enjoy lifeas younger people do.% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
MissingStronglydisagree Disagree I am not sure Agree
Stronglyagree
Elderly people can enjoy life as younger people do.
Total
Chi-Square Tests
59.207a 20 .00064.498 20 .000
.940 1 .332
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
16 cells (53.3%) have expected count less than 5. The minimumexpected count is .04.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.100 .035 2.703 .007
.168 .056 2.785 .005
.026 .041 .633 .527
.096 .022 .000c
.040 .012 .000c
.089 .018 4.837 .000d
.094 .019 4.837 .000d
.084 .017 4.837 .000d
.126 .051 2.471 .013
.125 .051 2.471 .013
.127 .051 2.471 .013
.273
.233
SymmetricCountry DependentElderly people canenjoy life as youngerpeople do. DependentCountry DependentElderly people canenjoy life as youngerpeople do. DependentSymmetricCountry DependentElderly people canenjoy life as youngerpeople do. DependentSymmetricCountry DependentElderly people canenjoy life as youngerpeople do. DependentCountry DependentElderly people canenjoy life as youngerpeople do. Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.472 .000
.236 .000
.427 .000
.126 .051 2.471 .013
.110 .045 2.471 .013
.179 .072 2.471 .013
.150 .060 2.458 .015c
.060 .058 .969 .333c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
Elderly people can e
Strongly disagree
Disagree
I am not sure
Agree
Strongly agree
Country * I would like computer lessons
Crosstab
7 11 9 277.0 5.6 14.4 27.0
25.9% 40.7% 33.3% 100.0%
10.1% 20.0% 6.3% 10.2%
2.6% 4.1% 3.4% 10.2%.0 5.4 -5.4.0 2.3 -1.4.0 2.7 -2.20 13 30 43
11.2 8.9 23.0 43.0.0% 30.2% 69.8% 100.0%
.0% 23.6% 21.1% 16.2%
.0% 4.9% 11.3% 16.2%-11.2 4.1 7.0-3.3 1.4 1.5-4.2 1.7 2.4
49 17 30 9624.9 19.8 51.2 96.0
51.0% 17.7% 31.3% 100.0%
71.0% 30.9% 21.1% 36.1%
18.4% 6.4% 11.3% 36.1%24.1 -2.8 -21.24.8 -.6 -3.07.0 -.9 -5.413 13 73 99
25.7 20.5 52.8 99.013.1% 13.1% 73.7% 100.0%
18.8% 23.6% 51.4% 37.2%
4.9% 4.9% 27.4% 37.2%-12.7 -7.5 20.2-2.5 -1.7 2.8-3.7 -2.3 5.1
0 1 0 1.3 .2 .5 1.0
.0% 100.0% .0% 100.0%
.0% 1.8% .0% .4%
.0% .4% .0% .4%-.3 .8 -.5-.5 1.7 -.7-.6 2.0 -1.169 55 142 266
69.0 55.0 142.0 266.025.9% 20.7% 53.4% 100.0%
100.0% 100.0% 100.0% 100.0%
25.9% 20.7% 53.4% 100.0%
CountExpected Count% within Country% within I would likecomputer lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecomputer lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecomputer lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecomputer lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecomputer lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecomputer lessons% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI would like computer lessons
Total
Chi-Square Tests
75.550a 8 .00082.116 8 .000
1.173 1 .279
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .21.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.213 .052 3.735 .000
.240 .050 4.314 .000
.177 .073 2.220 .026
.115 .026 .000c
.154 .032 .000c
.135 .024 5.536 .000d
.120 .021 5.536 .000d
.153 .027 5.536 .000d
-.140 .050 -2.842 .004-.151 .053 -2.842 .004
-.131 .047 -2.842 .004
.214
.469
SymmetricCountry DependentI would like computerlessons DependentCountry DependentI would like computerlessons DependentSymmetricCountry DependentI would like computerlessons DependentSymmetricCountry DependentI would like computerlessons DependentCountry DependentI would like computerlessons Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.533 .000
.377 .000
.470 .000-.140 .050 -2.842 .004-.137 .048 -2.842 .004-.203 .071 -2.842 .004
-.167 .058 -2.745 .006c
-.067 .053 -1.083 .280c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I would like compute
Yes
No
Country * I would like cooking lessons
Crosstab
10 5 12 276.7 8.5 11.8 27.0
37.0% 18.5% 44.4% 100.0%
15.2% 6.0% 10.3% 10.2%
3.8% 1.9% 4.5% 10.2%3.3 -3.5 .21.3 -1.2 .11.6 -1.5 .1
0 11 32 4310.7 13.6 18.8 43.0.0% 25.6% 74.4% 100.0%
.0% 13.1% 27.6% 16.2%
.0% 4.1% 12.0% 16.2%-10.7 -2.6 13.2-3.3 -.7 3.1-4.1 -.9 4.4
48 23 25 9623.8 30.3 41.9 96.0
50.0% 24.0% 26.0% 100.0%
72.7% 27.4% 21.6% 36.1%
18.0% 8.6% 9.4% 36.1%24.2 -7.3 -16.95.0 -1.3 -2.67.1 -2.0 -4.3
8 45 46 9924.6 31.3 43.2 99.0
8.1% 45.5% 46.5% 100.0%
12.1% 53.6% 39.7% 37.2%
3.0% 16.9% 17.3% 37.2%-16.6 13.7 2.8-3.3 2.5 .4-4.9 3.7 .7
0 0 1 1.2 .3 .4 1.0
.0% .0% 100.0% 100.0%
.0% .0% .9% .4%
.0% .0% .4% .4%-.2 -.3 .6-.5 -.6 .9-.6 -.7 1.166 84 116 266
66.0 84.0 116.0 266.024.8% 31.6% 43.6% 100.0%
100.0% 100.0% 100.0% 100.0%
24.8% 31.6% 43.6% 100.0%
CountExpected Count% within Country% within I would likecooking lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecooking lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecooking lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecooking lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecooking lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likecooking lessons% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI would like cooking lessons
Total
Chi-Square Tests
75.397a 8 .00083.811 8 .000
1.302 1 .254
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .25.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.199 .043 4.347 .000
.240 .039 5.658 .000
.153 .052 2.729 .006
.119 .025 .000c
.131 .027 .000c
.134 .023 5.654 .000d
.123 .022 5.654 .000d
.147 .026 5.654 .000d
-.029 .053 -.560 .576-.030 .054 -.560 .576
-.028 .051 -.560 .576
.194
.489
SymmetricCountry DependentI would like cookinglessons DependentCountry DependentI would like cookinglessons DependentSymmetricCountry DependentI would like cookinglessons DependentSymmetricCountry DependentI would like cookinglessons DependentCountry DependentI would like cookinglessons Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.532 .000
.376 .000
.470 .000-.029 .053 -.560 .576-.030 .053 -.560 .576-.042 .075 -.560 .576
-.026 .062 -.417 .677c
-.070 .057 -1.142 .255c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
50
40
30
20
10
0
I would like cooking
Yes
No
Country * I would like dancing lessons
Crosstab
8 6 13 276.9 5.2 14.9 27.0
29.6% 22.2% 48.1% 100.0%
11.8% 11.8% 8.8% 10.2%
3.0% 2.3% 4.9% 10.2%1.1 .8 -1.9.4 .4 -.5.5 .4 -.80 10 33 43
11.0 8.2 23.8 43.0.0% 23.3% 76.7% 100.0%
.0% 19.6% 22.4% 16.2%
.0% 3.8% 12.4% 16.2%-11.0 1.8 9.2-3.3 .6 1.9-4.2 .7 3.1
48 13 35 9624.5 18.4 53.1 96.0
50.0% 13.5% 36.5% 100.0%
70.6% 25.5% 23.8% 36.1%
18.0% 4.9% 13.2% 36.1%23.5 -5.4 -18.14.7 -1.3 -2.56.9 -1.8 -4.612 22 65 99
25.3 19.0 54.7 99.012.1% 22.2% 65.7% 100.0%
17.6% 43.1% 44.2% 37.2%
4.5% 8.3% 24.4% 37.2%-13.3 3.0 10.3-2.6 .7 1.4-3.9 1.0 2.6
0 0 1 1.3 .2 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.3 -.2 .4-.5 -.4 .6-.6 -.5 .968 51 147 266
68.0 51.0 147.0 266.025.6% 19.2% 55.3% 100.0%
100.0% 100.0% 100.0% 100.0%
25.6% 19.2% 55.3% 100.0%
CountExpected Count% within Country% within I would likedancing lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likedancing lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likedancing lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likedancing lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likedancing lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likedancing lessons% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI would like dancing lessons
Total
Chi-Square Tests
55.887a 8 .00064.501 8 .000
.608 1 .436
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .19.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.171 .050 3.231 .001
.216 .041 4.849 .000
.109 .072 1.432 .152
.091 .023 .000c
.113 .027 .000c
.107 .020 5.148 .000d
.094 .018 5.148 .000d
.122 .023 5.148 .000d
-.068 .050 -1.363 .173-.074 .054 -1.363 .173
-.063 .047 -1.363 .173
.049
.449
SymmetricCountry DependentI would like dancinglessons DependentCountry DependentI would like dancinglessons DependentSymmetricCountry DependentI would like dancinglessons DependentSymmetricCountry DependentI would like dancinglessons DependentCountry DependentI would like dancinglessons Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.458 .000
.324 .000
.417 .000-.069 .050 -1.363 .173-.066 .048 -1.363 .173-.103 .075 -1.363 .173
-.077 .058 -1.258 .210c
-.048 .055 -.779 .437c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
I would like dancing
Yes
No
Country * I would like art and crafts lessons
Crosstab
8 6 13 276.8 5.0 15.2 27.0
29.6% 22.2% 48.1% 100.0%
11.9% 12.2% 8.7% 10.2%
3.0% 2.3% 4.9% 10.2%1.2 1.0 -2.2.5 .5 -.6.6 .5 -.90 5 38 43
10.8 7.9 24.2 43.0.0% 11.6% 88.4% 100.0%
.0% 10.2% 25.3% 16.2%
.0% 1.9% 14.3% 16.2%-10.8 -2.9 13.8-3.3 -1.0 2.8-4.2 -1.3 4.6
48 20 28 9624.2 17.7 54.1 96.0
50.0% 20.8% 29.2% 100.0%
71.6% 40.8% 18.7% 36.1%
18.0% 7.5% 10.5% 36.1%23.8 2.3 -26.14.8 .6 -3.67.0 .8 -6.711 18 70 99
24.9 18.2 55.8 99.011.1% 18.2% 70.7% 100.0%
16.4% 36.7% 46.7% 37.2%
4.1% 6.8% 26.3% 37.2%-13.9 -.2 14.2-2.8 -.1 1.9-4.1 -.1 3.6
0 0 1 1.3 .2 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.3 -.2 .4-.5 -.4 .6-.6 -.5 .967 49 150 266
67.0 49.0 150.0 266.025.2% 18.4% 56.4% 100.0%
100.0% 100.0% 100.0% 100.0%
25.2% 18.4% 56.4% 100.0%
CountExpected Count% within Country% within I would likeart and crafts lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likeart and crafts lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likeart and crafts lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likeart and crafts lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likeart and crafts lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likeart and crafts lessons% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI would like art and crafts lessons
Total
Chi-Square Tests
69.004a 8 .00078.452 8 .000
.793 1 .373
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .18.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.208 .052 3.688 .000
.234 .052 4.082 .000
.172 .068 2.317 .020
.112 .024 .000c
.161 .032 .000c
.130 .023 5.547 .000d
.115 .021 5.547 .000d
.150 .027 5.547 .000d
-.079 .052 -1.521 .128-.086 .057 -1.521 .128
-.073 .048 -1.521 .128
.055
.497
SymmetricCountry DependentI would like art and craftslessons DependentCountry DependentI would like art and craftslessons DependentSymmetricCountry DependentI would like art and craftslessons DependentSymmetricCountry DependentI would like art and craftslessons DependentCountry DependentI would like art and craftslessons Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.509 .000
.360 .000
.454 .000-.079 .052 -1.521 .128-.076 .050 -1.521 .128-.118 .077 -1.521 .128
-.088 .060 -1.432 .153c
-.055 .055 -.890 .374c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I would like art and
Yes
No
Country * I would like pottery lessons
Crosstab
10 2 15 278.3 2.3 16.3 27.0
37.0% 7.4% 55.6% 100.0%
12.2% 8.7% 9.3% 10.2%
3.8% .8% 5.6% 10.2%1.7 -.3 -1.3.6 -.2 -.3.7 -.2 -.60 1 42 43
13.3 3.7 26.0 43.0.0% 2.3% 97.7% 100.0%
.0% 4.3% 26.1% 16.2%
.0% .4% 15.8% 16.2%-13.3 -2.7 16.0-3.6 -1.4 3.1-4.8 -1.6 5.4
57 5 34 9629.6 8.3 58.1 96.0
59.4% 5.2% 35.4% 100.0%
69.5% 21.7% 21.1% 36.1%
21.4% 1.9% 12.8% 36.1%27.4 -3.3 -24.15.0 -1.1 -3.27.6 -1.5 -6.315 15 69 99
30.5 8.6 59.9 99.015.2% 15.2% 69.7% 100.0%
18.3% 65.2% 42.9% 37.2%
5.6% 5.6% 25.9% 37.2%-15.5 6.4 9.1-2.8 2.2 1.2-4.3 2.9 2.4
0 0 1 1.3 .1 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .6% .4%
.0% .0% .4% .4%-.3 -.1 .4-.6 -.3 .5-.7 -.3 .882 23 161 266
82.0 23.0 161.0 266.030.8% 8.6% 60.5% 100.0%
100.0% 100.0% 100.0% 100.0%
30.8% 8.6% 60.5% 100.0%
CountExpected Count% within Country% within I wouldlike pottery lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike pottery lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike pottery lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike pottery lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike pottery lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike pottery lessons% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI would like pottery lessons
Total
Chi-Square Tests
76.999a 8 .00087.261 8 .000
.279 1 .597
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
5 cells (33.3%) have expected count less than 5. The minimumexpected count is .09.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.239 .054 4.023 .000
.251 .044 5.195 .000
.219 .080 2.438 .015
.122 .026 .000c
.200 .036 .000c
.152 .025 5.930 .000d
.128 .021 5.930 .000d
.187 .031 5.930 .000d
-.033 .052 -.638 .524-.038 .060 -.638 .524
-.029 .046 -.638 .524
.135
.507
SymmetricCountry DependentI would like potterylessons DependentCountry DependentI would like potterylessons DependentSymmetricCountry DependentI would like potterylessons DependentSymmetricCountry DependentI would like potterylessons DependentCountry DependentI would like potterylessons Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.538 .000
.380 .000
.474 .000-.034 .053 -.638 .524-.031 .048 -.638 .524-.052 .081 -.638 .524
-.031 .060 -.509 .611c
-.032 .056 -.528 .598c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I would like pottery
Yes
No
Country * I would like foreing languages lessons
Crosstab
9 4 14 277.7 4.0 15.3 27.0
33.3% 14.8% 51.9% 100.0%
11.8% 10.3% 9.3% 10.2%
3.4% 1.5% 5.3% 10.2%1.3 .0 -1.3.5 .0 -.3.6 .0 -.50 6 37 43
12.3 6.3 24.4 43.0.0% 14.0% 86.0% 100.0%
.0% 15.4% 24.5% 16.2%
.0% 2.3% 13.9% 16.2%-12.3 -.3 12.6-3.5 -.1 2.5-4.5 -.1 4.2
54 8 34 9627.4 14.1 54.5 96.0
56.3% 8.3% 35.4% 100.0%
71.1% 20.5% 22.5% 36.1%
20.3% 3.0% 12.8% 36.1%26.6 -6.1 -20.55.1 -1.6 -2.87.5 -2.2 -5.313 21 65 99
28.3 14.5 56.2 99.013.1% 21.2% 65.7% 100.0%
17.1% 53.8% 43.0% 37.2%
4.9% 7.9% 24.4% 37.2%-15.3 6.5 8.8-2.9 1.7 1.2-4.3 2.3 2.3
0 0 1 1.3 .1 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.3 -.1 .4-.5 -.4 .6-.6 -.4 .976 39 151 266
76.0 39.0 151.0 266.028.6% 14.7% 56.8% 100.0%
100.0% 100.0% 100.0% 100.0%
28.6% 14.7% 56.8% 100.0%
CountExpected Count% within Country% within I wouldlike foreinglanguages lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike foreinglanguages lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike foreinglanguages lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike foreinglanguages lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike foreinglanguages lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike foreinglanguages lessons% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I would like foreing languageslessons
Total
Chi-Square Tests
68.493a 8 .00077.891 8 .000
.423 1 .515
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .15.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.216 .051 3.866 .000
.246 .043 5.263 .000
.174 .074 2.150 .032
.112 .025 .000c
.152 .032 .000c
.130 .023 5.600 .000d
.114 .020 5.600 .000d
.152 .027 5.600 .000d
-.047 .051 -.916 .360-.051 .056 -.916 .360
-.043 .047 -.916 .360
.078
.489
SymmetricCountry DependentI would like foreinglanguages lessonsDependentCountry DependentI would like foreinglanguages lessonsDependentSymmetricCountry DependentI would like foreinglanguages lessonsDependentSymmetricCountry DependentI would like foreinglanguages lessonsDependentCountry DependentI would like foreinglanguages lessonsDependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.507 .000
.359 .000
.453 .000-.047 .051 -.916 .360-.044 .048 -.916 .360-.070 .077 -.916 .360
-.049 .059 -.793 .428c
-.040 .055 -.650 .516c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
I would like foreing
Yes
No
Country * I would like my countries' language for foreigners
Crosstab
8 4 15 278.5 1.7 16.7 27.0
29.6% 14.8% 55.6% 100.0%
9.5% 23.5% 9.1% 10.2%
3.0% 1.5% 5.6% 10.2%-.5 2.3 -1.7-.2 1.7 -.4-.2 1.9 -.7
0 3 40 4313.6 2.7 26.7 43.0.0% 7.0% 93.0% 100.0%
.0% 17.6% 24.2% 16.2%
.0% 1.1% 15.0% 16.2%-13.6 .3 13.3-3.7 .2 2.6-4.9 .2 4.6
57 2 37 9630.3 6.1 59.5 96.0
59.4% 2.1% 38.5% 100.0%
67.9% 11.8% 22.4% 36.1%
21.4% .8% 13.9% 36.1%26.7 -4.1 -22.54.8 -1.7 -2.97.3 -2.2 -5.919 7 73 99
31.3 6.3 61.4 99.019.2% 7.1% 73.7% 100.0%
22.6% 41.2% 44.2% 37.2%
7.1% 2.6% 27.4% 37.2%-12.3 .7 11.6-2.2 .3 1.5-3.3 .3 3.0
0 1 0 1.3 .1 .6 1.0
.0% 100.0% .0% 100.0%
.0% 5.9% .0% .4%
.0% .4% .0% .4%-.3 .9 -.6-.6 3.7 -.8-.7 3.8 -1.384 17 165 266
84.0 17.0 165.0 266.031.6% 6.4% 62.0% 100.0%
100.0% 100.0% 100.0% 100.0%
31.6% 6.4% 62.0% 100.0%
CountExpected Count% within Country% within I would likemy countries' languagefor foreigners% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likemy countries' languagefor foreigners% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likemy countries' languagefor foreigners% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likemy countries' languagefor foreigners% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likemy countries' languagefor foreigners% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likemy countries' languagefor foreigners% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I would like my countries' languagefor foreigners
Total
Chi-Square Tests
80.003a 8 .00080.856 8 .000
.026 1 .873
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
5 cells (33.3%) have expected count less than 5. The minimumexpected count is .06.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.220 .056 3.578 .000
.228 .046 4.523 .000
.208 .086 2.174 .030
.102 .024 .000c
.190 .038 .000c
.143 .025 5.626 .000d
.118 .020 5.626 .000d
.182 .032 5.626 .000d
-.028 .051 -.550 .582-.033 .060 -.550 .582
-.024 .044 -.550 .582
.036
.475
SymmetricCountry DependentI would like mycountries' language forforeigners DependentCountry DependentI would like mycountries' language forforeigners DependentSymmetricCountry DependentI would like mycountries' language forforeigners DependentSymmetricCountry DependentI would like mycountries' language forforeigners DependentCountry DependentI would like mycountries' language forforeigners Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.548 .000
.388 .000
.481 .000-.028 .052 -.550 .582-.025 .046 -.550 .582-.045 .081 -.550 .582
-.031 .058 -.502 .616c
.010 .054 .160 .873c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I would like my coun
Yes
No
Country * I would like gymnastics lessons
Crosstab
9 3 15 277.5 5.2 14.3 27.0
33.3% 11.1% 55.6% 100.0%
12.2% 5.9% 10.6% 10.2%
3.4% 1.1% 5.6% 10.2%1.5 -2.2 .7.5 -1.0 .2.7 -1.1 .30 7 36 43
12.0 8.2 22.8 43.0.0% 16.3% 83.7% 100.0%
.0% 13.7% 25.5% 16.2%
.0% 2.6% 13.5% 16.2%-12.0 -1.2 13.2-3.5 -.4 2.8-4.4 -.5 4.4
54 7 35 9626.7 18.4 50.9 96.0
56.3% 7.3% 36.5% 100.0%
73.0% 13.7% 24.8% 36.1%
20.3% 2.6% 13.2% 36.1%27.3 -11.4 -15.95.3 -2.7 -2.27.8 -3.7 -4.111 33 55 99
27.5 19.0 52.5 99.011.1% 33.3% 55.6% 100.0%
14.9% 64.7% 39.0% 37.2%
4.1% 12.4% 20.7% 37.2%-16.5 14.0 2.5-3.2 3.2 .3-4.7 4.5 .6
0 1 0 1.3 .2 .5 1.0
.0% 100.0% .0% 100.0%
.0% 2.0% .0% .4%
.0% .4% .0% .4%-.3 .8 -.5-.5 1.8 -.7-.6 2.1 -1.174 51 141 266
74.0 51.0 141.0 266.027.8% 19.2% 53.0% 100.0%
100.0% 100.0% 100.0% 100.0%
27.8% 19.2% 53.0% 100.0%
CountExpected Count% within Country% within I would likegymnastics lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likegymnastics lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likegymnastics lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likegymnastics lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likegymnastics lessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likegymnastics lessons% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes NoI would like gymnastics lessons
Total
Chi-Square Tests
85.592a 8 .00093.091 8 .000
.168 1 .682
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .19.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.216 .050 4.000 .000
.257 .042 5.644 .000
.160 .070 2.126 .034
.137 .027 .000c
.157 .030 .000c
.153 .025 5.950 .000d
.136 .023 5.950 .000d
.173 .028 5.950 .000d
.004 .050 .079 .937
.004 .054 .079 .937
.004 .047 .079 .937
.208
.485
SymmetricCountry DependentI would like gymnasticslessons DependentCountry DependentI would like gymnasticslessons DependentSymmetricCountry DependentI would like gymnasticslessons DependentSymmetricCountry DependentI would like gymnasticslessons DependentCountry DependentI would like gymnasticslessons Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.567 .000
.401 .000
.493 .000
.004 .050 .079 .937
.004 .049 .079 .937
.006 .074 .079 .937
.013 .059 .215 .830c
-.025 .055 -.409 .683c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
60
50
40
30
20
10
0
I would like gymnast
Yes
No
Country * I would like fashion-embroidery lessons
Crosstab
8 4 15 277.3 4.3 15.4 27.0
29.6% 14.8% 55.6% 100.0%
11.1% 9.5% 9.9% 10.2%
3.0% 1.5% 5.6% 10.2%.7 -.3 -.4.3 -.1 -.1.3 -.1 -.20 9 34 43
11.6 6.8 24.6 43.0.0% 20.9% 79.1% 100.0%
.0% 21.4% 22.4% 16.2%
.0% 3.4% 12.8% 16.2%-11.6 2.2 9.4-3.4 .8 1.9-4.4 1.0 3.2
50 16 30 9626.0 15.2 54.9 96.0
52.1% 16.7% 31.3% 100.0%
69.4% 38.1% 19.7% 36.1%
18.8% 6.0% 11.3% 36.1%24.0 .8 -24.94.7 .2 -3.46.9 .3 -6.414 13 72 99
26.8 15.6 56.6 99.014.1% 13.1% 72.7% 100.0%
19.4% 31.0% 47.4% 37.2%
5.3% 4.9% 27.1% 37.2%-12.8 -2.6 15.4-2.5 -.7 2.1-3.7 -.9 4.0
0 0 1 1.3 .2 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.3 -.2 .4-.5 -.4 .6-.6 -.4 .972 42 152 266
72.0 42.0 152.0 266.027.1% 15.8% 57.1% 100.0%
100.0% 100.0% 100.0% 100.0%
27.1% 15.8% 57.1% 100.0%
CountExpected Count% within Country% within I would likefashion-embroiderylessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likefashion-embroiderylessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likefashion-embroiderylessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likefashion-embroiderylessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likefashion-embroiderylessons% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I would likefashion-embroiderylessons% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I would like fashion-embroiderylessons
Total
Chi-Square Tests
61.087a 8 .00071.094 8 .000
.383 1 .536
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .16.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.210 .053 3.660 .000
.234 .051 4.174 .000
.175 .071 2.257 .024
.101 .024 .000c
.145 .033 .000c
.119 .022 5.428 .000d
.104 .019 5.428 .000d
.138 .025 5.428 .000d
-.081 .052 -1.552 .121-.089 .057 -1.552 .121
-.074 .048 -1.552 .121
.064
.472
SymmetricCountry DependentI would likefashion-embroiderylessons DependentCountry DependentI would likefashion-embroiderylessons DependentSymmetricCountry DependentI would likefashion-embroiderylessons DependentSymmetricCountry DependentI would likefashion-embroiderylessons DependentCountry DependentI would likefashion-embroiderylessons Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.479 .000
.339 .000
.432 .000-.081 .052 -1.552 .121-.077 .050 -1.552 .121-.121 .078 -1.552 .121
-.094 .060 -1.537 .126c
-.038 .055 -.618 .537c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
80
60
40
20
0
I would like fashion
Yes
No
Country * I would like discussion on a variety of topics
Crosstab
9 5 13 274.6 14.0 8.4 27.0
33.3% 18.5% 48.1% 100.0%
20.0% 3.6% 15.7% 10.2%
3.4% 1.9% 4.9% 10.2%4.4 -9.0 4.62.1 -2.4 1.62.4 -3.7 2.0
0 27 16 437.3 22.3 13.4 43.0
.0% 62.8% 37.2% 100.0%
.0% 19.6% 19.3% 16.2%
.0% 10.2% 6.0% 16.2%-7.3 4.7 2.6-2.7 1.0 .7-3.2 1.6 .9
27 56 13 9616.2 49.8 30.0 96.0
28.1% 58.3% 13.5% 100.0%
60.0% 40.6% 15.7% 36.1%
10.2% 21.1% 4.9% 36.1%10.8 6.2 -17.02.7 .9 -3.13.7 1.6 -4.7
9 50 40 9916.7 51.4 30.9 99.0
9.1% 50.5% 40.4% 100.0%
20.0% 36.2% 48.2% 37.2%
3.4% 18.8% 15.0% 37.2%-7.7 -1.4 9.1-1.9 -.2 1.6-2.6 -.3 2.5
0 0 1 1.2 .5 .3 1.0
.0% .0% 100.0% 100.0%
.0% .0% 1.2% .4%
.0% .0% .4% .4%-.2 -.5 .7-.4 -.7 1.2-.5 -1.0 1.545 138 83 266
45.0 138.0 83.0 266.016.9% 51.9% 31.2% 100.0%
100.0% 100.0% 100.0% 100.0%
16.9% 51.9% 31.2% 100.0%
CountExpected Count% within Country% within I wouldlike discussion ona variety of topics% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike discussion ona variety of topics% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike discussion ona variety of topics% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike discussion ona variety of topics% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike discussion ona variety of topics% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within I wouldlike discussion ona variety of topics% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
I would like discussion on a varietyof topics
Total
Chi-Square Tests
47.343a 8 .00057.141 8 .000
1.686 1 .194
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .17.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.112 .040 2.634 .008
.144 .066 2.030 .042
.070 .033 2.081 .037
.061 .016 .000c
.082 .018 .000c
.094 .019 4.854 .000d
.084 .017 4.854 .000d
.107 .021 4.854 .000d
-.068 .059 -1.154 .248-.073 .063 -1.154 .248
-.063 .055 -1.154 .248
.108
.336
SymmetricCountry DependentI would like discussionon a variety of topicsDependentCountry DependentI would like discussionon a variety of topicsDependentSymmetricCountry DependentI would like discussionon a variety of topicsDependentSymmetricCountry DependentI would like discussionon a variety of topicsDependentCountry DependentI would like discussionon a variety of topicsDependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.422 .000
.298 .000
.389 .000-.068 .059 -1.154 .248-.066 .057 -1.154 .248-.101 .088 -1.154 .248
-.077 .066 -1.259 .209c
-.080 .064 -1.300 .195c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
60
50
40
30
20
10
0
I would like discuss
Yes
No
Country * To participate in a team to publish a book with traditional recipes
Crosstab
9 3 15 276.6 6.4 14.0 27.0
33.3% 11.1% 55.6% 100.0%
13.8% 4.8% 10.9% 10.2%
3.4% 1.1% 5.6% 10.2%2.4 -3.4 1.0.9 -1.3 .3
1.1 -1.6 .40 16 27 43
10.5 10.2 22.3 43.0.0% 37.2% 62.8% 100.0%
.0% 25.4% 19.6% 16.2%
.0% 6.0% 10.2% 16.2%-10.5 5.8 4.7-3.2 1.8 1.0-4.1 2.3 1.6
46 12 38 9623.5 22.7 49.8 96.0
47.9% 12.5% 39.6% 100.0%
70.8% 19.0% 27.5% 36.1%
17.3% 4.5% 14.3% 36.1%22.5 -10.7 -11.84.7 -2.3 -1.76.7 -3.2 -3.010 32 57 99
24.2 23.4 51.4 99.010.1% 32.3% 57.6% 100.0%
15.4% 50.8% 41.3% 37.2%
3.8% 12.0% 21.4% 37.2%-14.2 8.6 5.6-2.9 1.8 .8-4.2 2.6 1.4
0 0 1 1.2 .2 .5 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.2 -.2 .5-.5 -.5 .7-.6 -.6 1.065 63 138 266
65.0 63.0 138.0 266.024.4% 23.7% 51.9% 100.0%
100.0% 100.0% 100.0% 100.0%
24.4% 23.7% 51.9% 100.0%
CountExpected Count% within Country% within To participate ina team to publish a bookwith traditional recipes% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional recipes% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional recipes% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional recipes% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional recipes% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional recipes% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
To participate in a team to publish abook with traditional recipes
Total
Chi-Square Tests
60.082a 8 .00069.343 8 .000
1.059 1 .303
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .24.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.149 .048 2.935 .003
.216 .040 5.035 .000
.063 .069 .874 .382
.096 .022 .000c
.097 .022 .000c
.113 .021 5.295 .000d
.102 .019 5.295 .000d
.127 .023 5.295 .000d
-.052 .050 -1.042 .297-.056 .053 -1.042 .297
-.049 .047 -1.042 .297
.100
.415
SymmetricCountry DependentTo participate in ateam to publish abook with traditionalrecipes DependentCountry DependentTo participate in ateam to publish abook with traditionalrecipes DependentSymmetricCountry DependentTo participate in ateam to publish abook with traditionalrecipes DependentSymmetricCountry DependentTo participate in ateam to publish abook with traditionalrecipes DependentCountry DependentTo participate in ateam to publish abook with traditionalrecipes Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.475 .000
.336 .000
.429 .000-.052 .050 -1.042 .297-.051 .049 -1.042 .297-.077 .074 -1.042 .297
-.059 .059 -.954 .341c
-.063 .056 -1.029 .304c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
60
50
40
30
20
10
0
To participate in a
Yes
No
Country * To participate in a team to publish a book with traditional myths and stories
Crosstab
9 4 14 277.6 4.3 15.1 27.0
33.3% 14.8% 51.9% 100.0%
12.0% 9.5% 9.4% 10.2%
3.4% 1.5% 5.3% 10.2%1.4 -.3 -1.1.5 -.1 -.3.6 -.1 -.50 10 33 43
12.1 6.8 24.1 43.0.0% 23.3% 76.7% 100.0%
.0% 23.8% 22.1% 16.2%
.0% 3.8% 12.4% 16.2%-12.1 3.2 8.9-3.5 1.2 1.8-4.5 1.5 3.0
55 6 35 9627.1 15.2 53.8 96.0
57.3% 6.3% 36.5% 100.0%
73.3% 14.3% 23.5% 36.1%
20.7% 2.3% 13.2% 36.1%27.9 -9.2 -18.85.4 -2.4 -2.67.9 -3.2 -4.811 22 66 99
27.9 15.6 55.5 99.011.1% 22.2% 66.7% 100.0%
14.7% 52.4% 44.3% 37.2%
4.1% 8.3% 24.8% 37.2%-16.9 6.4 10.5-3.2 1.6 1.4-4.8 2.2 2.7
0 0 1 1.3 .2 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.3 -.2 .4-.5 -.4 .6-.6 -.4 .975 42 149 266
75.0 42.0 149.0 266.028.2% 15.8% 56.0% 100.0%
100.0% 100.0% 100.0% 100.0%
28.2% 15.8% 56.0% 100.0%
CountExpected Count% within Country% within To participatein a team to publish abook with traditionalmyths and stories% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with traditionalmyths and stories% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with traditionalmyths and stories% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with traditionalmyths and stories% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with traditionalmyths and stories% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with traditionalmyths and stories% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
To participate in a team to publish abook with traditional myths and
storiesTotal
Chi-Square Tests
73.839a 8 .00084.361 8 .000
1.105 1 .293
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .16.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.225 .051 4.043 .000
.263 .042 5.742 .000
.171 .074 2.126 .034
.125 .026 .000c
.149 .031 .000c
.141 .024 5.842 .000d
.124 .021 5.842 .000d
.163 .027 5.842 .000d
-.077 .050 -1.550 .121-.085 .055 -1.550 .121
-.071 .046 -1.550 .121
.072
.497
SymmetricCountry DependentTo participate in a teamto publish a book withtraditional myths andstories DependentCountry DependentTo participate in a teamto publish a book withtraditional myths andstories DependentSymmetricCountry DependentTo participate in a teamto publish a book withtraditional myths andstories DependentSymmetricCountry DependentTo participate in a teamto publish a book withtraditional myths andstories DependentCountry DependentTo participate in a teamto publish a book withtraditional myths andstories Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.527 .000
.373 .000
.466 .000-.078 .050 -1.550 .121-.074 .048 -1.550 .121-.115 .074 -1.550 .121
-.086 .058 -1.408 .160c
-.065 .055 -1.051 .294c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
To participate in a
Yes
No
Country * To participate in a team to publish a book with old pictures from our city or town
Crosstab
8 6 13 277.1 6.2 13.7 27.0
29.6% 22.2% 48.1% 100.0%
11.4% 9.8% 9.6% 10.2%
3.0% 2.3% 4.9% 10.2%.9 -.2 -.7.3 -.1 -.2.4 -.1 -.30 9 34 43
11.3 9.9 21.8 43.0.0% 20.9% 79.1% 100.0%
.0% 14.8% 25.2% 16.2%
.0% 3.4% 12.8% 16.2%-11.3 -.9 12.2-3.4 -.3 2.6-4.3 -.3 4.1
51 15 30 9625.3 22.0 48.7 96.0
53.1% 15.6% 31.3% 100.0%
72.9% 24.6% 22.2% 36.1%
19.2% 5.6% 11.3% 36.1%25.7 -7.0 -18.75.1 -1.5 -2.77.5 -2.1 -4.811 31 57 99
26.1 22.7 50.2 99.011.1% 31.3% 57.6% 100.0%
15.7% 50.8% 42.2% 37.2%
4.1% 11.7% 21.4% 37.2%-15.1 8.3 6.8-2.9 1.7 1.0-4.3 2.5 1.7
0 0 1 1.3 .2 .5 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.3 -.2 .5-.5 -.5 .7-.6 -.5 1.070 61 135 266
70.0 61.0 135.0 266.026.3% 22.9% 50.8% 100.0%
100.0% 100.0% 100.0% 100.0%
26.3% 22.9% 50.8% 100.0%
CountExpected Count% within Country% within To participatein a team to publish abook with old picturesfrom our city or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with old picturesfrom our city or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with old picturesfrom our city or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with old picturesfrom our city or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with old picturesfrom our city or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish abook with old picturesfrom our city or town% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
To participate in a team to publish abook with old pictures from our city
or townTotal
Chi-Square Tests
67.597a 8 .00075.785 8 .000
.321 1 .571
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .23.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.205 .047 4.013 .000
.240 .041 5.346 .000
.160 .063 2.358 .018
.111 .025 .000c
.129 .028 .000c
.123 .022 5.441 .000d
.111 .020 5.441 .000d
.138 .025 5.441 .000d
-.036 .051 -.714 .475-.038 .054 -.714 .475
-.034 .048 -.714 .475
.087
.485
SymmetricCountry DependentTo participate in a teamto publish a book withold pictures from ourcity or town DependentCountry DependentTo participate in a teamto publish a book withold pictures from ourcity or town DependentSymmetricCountry DependentTo participate in a teamto publish a book withold pictures from ourcity or town DependentSymmetricCountry DependentTo participate in a teamto publish a book withold pictures from ourcity or town DependentCountry DependentTo participate in a teamto publish a book withold pictures from ourcity or town Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.504 .000
.356 .000
.450 .000-.036 .051 -.714 .475-.036 .050 -.714 .475-.053 .074 -.714 .475
-.036 .060 -.588 .557c
-.035 .055 -.566 .572c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
60
50
40
30
20
10
0
To participate in a
Yes
No
Country * To participate in a team to publish a tourist guide about our city or town
Crosstab
9 6 12 277.9 4.0 15.1 27.0
33.3% 22.2% 44.4% 100.0%
11.5% 15.4% 8.1% 10.2%
3.4% 2.3% 4.5% 10.2%1.1 2.0 -3.1.4 1.0 -.8.5 1.2 -1.30 8 35 43
12.6 6.3 24.1 43.0.0% 18.6% 81.4% 100.0%
.0% 20.5% 23.5% 16.2%
.0% 3.0% 13.2% 16.2%-12.6 1.7 10.9-3.6 .7 2.2-4.6 .8 3.7
56 1 39 9628.2 14.1 53.8 96.0
58.3% 1.0% 40.6% 100.0%
71.8% 2.6% 26.2% 36.1%
21.1% .4% 14.7% 36.1%27.8 -13.1 -14.85.2 -3.5 -2.07.8 -4.7 -3.813 24 62 99
29.0 14.5 55.5 99.013.1% 24.2% 62.6% 100.0%
16.7% 61.5% 41.6% 37.2%
4.9% 9.0% 23.3% 37.2%-16.0 9.5 6.5-3.0 2.5 .9-4.5 3.4 1.7
0 0 1 1.3 .1 .6 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.3 -.1 .4-.5 -.4 .6-.6 -.4 .978 39 149 266
78.0 39.0 149.0 266.029.3% 14.7% 56.0% 100.0%
100.0% 100.0% 100.0% 100.0%
29.3% 14.7% 56.0% 100.0%
CountExpected Count% within Country% within To participatein a team to publish atourist guide about ourcity or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish atourist guide about ourcity or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish atourist guide about ourcity or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish atourist guide about ourcity or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish atourist guide about ourcity or town% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participatein a team to publish atourist guide about ourcity or town% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
To participate in a team to publish atourist guide about our city or town
Total
Chi-Square Tests
80.221a 8 .00096.644 8 .000
.574 1 .449
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
4 cells (26.7%) have expected count less than 5. The minimumexpected count is .15.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.211 .053 3.704 .000
.257 .043 5.459 .000
.145 .077 1.754 .079
.134 .025 .000c
.152 .030 .000c
.162 .023 6.736 .000d
.142 .021 6.736 .000d
.188 .027 6.736 .000d
-.053 .049 -1.094 .274-.059 .054 -1.094 .274
-.049 .045 -1.094 .274
.057
.479
SymmetricCountry DependentTo participate in a teamto publish a touristguide about our city ortown DependentCountry DependentTo participate in a teamto publish a touristguide about our city ortown DependentSymmetricCountry DependentTo participate in a teamto publish a touristguide about our city ortown DependentSymmetricCountry DependentTo participate in a teamto publish a touristguide about our city ortown DependentCountry DependentTo participate in a teamto publish a touristguide about our city ortown Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.549 .000
.388 .000
.481 .000-.054 .049 -1.094 .274-.051 .047 -1.094 .274-.080 .073 -1.094 .274
-.056 .058 -.919 .359c
-.047 .054 -.757 .450c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
To participate in a
Yes
No
Country * To participate in a team to publish a book with traditional songs
Crosstab
9 4 14 276.7 5.7 14.6 27.0
33.3% 14.8% 51.9% 100.0%
13.6% 7.1% 9.7% 10.2%
3.4% 1.5% 5.3% 10.2%2.3 -1.7 -.6.9 -.7 -.2
1.1 -.8 -.30 4 39 43
10.7 9.1 23.3 43.0.0% 9.3% 90.7% 100.0%
.0% 7.1% 27.1% 16.2%
.0% 1.5% 14.7% 16.2%-10.7 -5.1 15.7-3.3 -1.7 3.3-4.1 -2.1 5.3
43 21 32 9623.8 20.2 52.0 96.0
44.8% 21.9% 33.3% 100.0%
65.2% 37.5% 22.2% 36.1%
16.2% 7.9% 12.0% 36.1%19.2 .8 -20.03.9 .2 -2.85.7 .2 -5.114 27 58 99
24.6 20.8 53.6 99.014.1% 27.3% 58.6% 100.0%
21.2% 48.2% 40.3% 37.2%
5.3% 10.2% 21.8% 37.2%-10.6 6.2 4.4-2.1 1.3 .6-3.1 1.9 1.1
0 0 1 1.2 .2 .5 1.0
.0% .0% 100.0% 100.0%
.0% .0% .7% .4%
.0% .0% .4% .4%-.2 -.2 .5-.5 -.5 .6-.6 -.5 .966 56 144 266
66.0 56.0 144.0 266.024.8% 21.1% 54.1% 100.0%
100.0% 100.0% 100.0% 100.0%
24.8% 21.1% 54.1% 100.0%
CountExpected Count% within Country% within To participate ina team to publish a bookwith traditional songs% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional songs% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional songs% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional songs% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional songs% of TotalResidualStd. ResidualAdjusted ResidualCountExpected Count% within Country% within To participate ina team to publish a bookwith traditional songs% of Total
Wales
Romania
Lithuania
Cyprus
.00
Country
Total
Missing Yes No
To participate in a team to publish abook with traditional songs
Total
Chi-Square Tests
56.144a 8 .00065.016 8 .000
.048 1 .826
.b
266
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationMcNemar TestN of Valid Cases
Value dfAsymp. Sig.
(2-sided)Exact Sig.(2-sided)
3 cells (20.0%) have expected count less than 5. The minimumexpected count is .21.
a.
Computed only for a PxP table, where P must be greater than 1.b.
Directional Measures
.138 .048 2.747 .006
.174 .041 3.952 .000
.090 .068 1.274 .203
.081 .021 .000c
.121 .025 .000c
.107 .020 5.145 .000d
.095 .018 5.145 .000d
.121 .023 5.145 .000d
.008 .053 .151 .880
.009 .057 .151 .880
.007 .049 .151 .880
.134
.427
SymmetricCountry DependentTo participate in ateam to publish abook with traditionalsongs DependentCountry DependentTo participate in ateam to publish abook with traditionalsongs DependentSymmetricCountry DependentTo participate in ateam to publish abook with traditionalsongs DependentSymmetricCountry DependentTo participate in ateam to publish abook with traditionalsongs DependentCountry DependentTo participate in ateam to publish abook with traditionalsongs Dependent
Lambda
Goodman andKruskal tau
Uncertainty Coefficient
Nominal byNominal
Somers' dOrdinal by Ordinal
EtaNominal by Interval
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on chi-square approximationc.
Likelihood ratio chi-square probability.d.
Symmetric Measures
.459 .000
.325 .000
.417 .000
.008 .053 .151 .880
.008 .051 .151 .880
.012 .080 .151 .880
.014 .061 .225 .822c
-.014 .058 -.220 .826c
.d
266
PhiCramer's VContingency Coefficient
Nominal by Nominal
Kendall's tau-bKendall's tau-cGammaSpearman Correlation
Ordinal by Ordinal
Pearson's RInterval by IntervalKappaMeasure of Agreement
N of Valid Cases
ValueAsymp.
Std. Errora Approx. Tb Approx. Sig.
Not assuming the null hypothesis.a.
Using the asymptotic standard error assuming the null hypothesis.b.
Based on normal approximation.c.
Kappa statistics cannot be computed.They require a symmetric 2-way table in which the valuesof the first variable match the values of the second variable.
d.
Risk Estimate
aOdds Ratio forCountry (.00 / Cyprus)
Value
Risk Estimate statistics cannot be computed. Theyare only computed for a 2*2 table without empty cells.
a.
Country
WalesRomaniaLithuaniaCyprus
Cou
nt
70
60
50
40
30
20
10
0
To participate in a
Yes
No