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7/27/2019 Validity and Reliability in Quantitative Research
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QuantitativeResearch
March
9,
2011
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Theapproximatetruthofpropositions,
inferences,or
conclusions.
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Sampling
Design
Analysis
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rox ma
m a r y
o e
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Userandomselection,ifpossible,ratherthan
anonrandom
rocedure
Trytoassurethattherespondentsparticipate
rateslow.
Usethetheoryofproximalsimilaritymore
effectivel b a l in techni ues like conce t
mapping
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Simp eRan omSamp ing Tose ectn unitsouto
N suchthat
each
NCn hasan
equal
chance
of
e ngse ec e . sea a eo ran omnum ers,acomputerrandomnumbergenerator,ora
m c c
v c
c
m . StratifiedRandomSampling Dividethe
popu at on ntononover app nggroups .e.,
strata)
N1,
N2,
N3,
...
Ni,
such
that
N1 +
N2 +
N3 +
...
+ i = . en oas mp eran omsamp eo =n/Nineachstrata.
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.
SystematicRandomSampling
numbertheunitsinthepopulationfrom1toN
k=N/n=theintervalsize
randomlyselectanintegerbetween1tok
thentakeeverykth unit
ClusterRandomSampling
randomlysampleclusters
measureall units
within
sampled
clusters
MultiStageSampling
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Accidental,HaphazardorConvenienceSampling Traditional
"person
on
the
streetinterviews conducted
frequently
by
opinion.Choiceofstudentsbecauseitisconvenientisalsoan
exam leofthist eofsam lin .
PurposiveSampling
We
sample
with
a
purpose in
mind.
We
usuallywouldhaveoneormorespecificpredefinedgroups
weareseeking.Forinstance,haveyoueverrunintopeoplein
amalloronthestreetwhoarecarryingaclipboardandwho
ares opp ngvar ouspeop ean as ng eycou n erv ew
them?Mostlikelytheyareconductingapurposivesample.
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PurposiveSamplingTypes
ModalInstance
Sam lin
T ical
Voter
ExpertSampling
Proportional(Proportionaltothepopulation)
onproport ona noug to ot estat st ca tests
Heterogeneity
Sampling
(Wide
Arrays) SnowballSampling(Choosesomeoneandaskhim
torecommendmore)
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Constructvalidityreferstothedegreeto
whichinferences
can
le itimatel
be
made
fromtheoperationalizations inyourstudyto
operationalizations werebased.
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Externalvalidityinvolvesgeneralizingfrom
ourstud
context
to
other
eo le,
laces
or
times,constructvalidityinvolvesgeneralizing
conceptofyour
program
or
measures.
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Translationvalidity
Facevalidit
Contentvalidity
r er on
re a e
va y Predictivevalidity
Concurrentvalidity
Discriminant validity
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Howaccuratelyyoutranslatedyourconstruct
FaceValidity seewhether"onitsface"it
seems
i e
a
goo
trans ation
o
t e
construct. ContentValidit checktheo erationalization
againsttherelevantcontentdomainforthe
.
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re c veva y npre c veva y,weassess eoperationalization's abilitytopredictsomethingitshouldtheoreticallybeabletopredict.
Concurrentvalidity Inconcurrentvalidity,weassesstheoperationalization's abilitytodistinguishbetweengroupsthatitshouldtheoreticall beabletodistin uishbetween.
Convergent
validity
In
convergent
validity,
we
examine
thedegreetowhichtheoperationalization issimilarto
theoreticallyshouldbesimilarto.
Discriminant validity
In
discriminant validity,
we
examine
e egree ow c eopera ona za on sno s m ar o(divergesfrom)otheroperationalizations thatittheoreticallyshouldbenotbesimilarto.
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Measuresofconstructsthattheoretically
shouldberelated
to
each
other
are,
in
fact,
observedtoberelatedtoeachother(thatis,
correspondenceor
convergence between
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.
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Measuresofconstructsthattheoretically
shouldnotbe
related
to
each
other
are,
in
fact,observedtonotberelatedtoeachother
,
betweendissimilar
constructs)
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.
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Cronbach andMeehl,1955
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MultitraitMultimethod Matrix
(MTMM)
(Campbelland
Fiske,
1959)
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MultitraitMultimethod Matrix
(MTMM)Contd.
TheReliabilityDiagonal Estimatesofthe
reliabilit
ofeach
measure
in
the
matrix.
You
canestimatereliabilitiesanumberofdifferent
. ., , .
TheValidityDiagonals Correlationsbetweenmeasuresofthesametraitmeasuredusing
different
methods.
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MultitraitMultimethod Matrix
(MTMM)Contd.
T eHeterotra tMonomet o Tr ang es
Theseare
the
correlations
among
measures
thatsharethesamemethodofmeasurement.
TheMonomethod Blocks Theseconsistofall
ofthe
correlations
that
share
the
same
methodofmeasurement.
TheHeteromethod Blocks Theseconsistof
methods.
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oe c en s n ere a y agona s ou consistentlybethehighestinthematrix. Thatis,
itselfthanwithanythingelse!Thisisuniformlytrueinourexam le.
Coefficientsin
the
validity
diagonals
should
be
significantlydifferentfromzeroandhighenoughtowarrantfurtherinvestigation. Thisisessentiallyevidenceofconvergentvalidity.Allof
criterion.
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. Avaliditycoefficientshouldbehigherthan
valuesl in
in
its
column
and
row
in
the
same
heteromethod block. Inotherwords,(SE
P&P)(SD
Teacher),
(SE
P&P)
(LC
Teacher),
(SE
.
Thisistrueinallcasesinourexample.
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. va ycoe c en s ou e g er ana
coefficientsintheheterotraitmonomethod
.
factorsshouldbestrongerthanmethodsfactors.Notethatthisisnottrueinallcasesinour
example.For
instance,
the
(LC
P&P)
(LC
Teacher)
correlationof.46islessthan(SETeacher)(SDeac er , eac er eac er ,an
Teacher)(LCTeacher) evidencethatthere
,Teacherobservationmethod.
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. Thesamepatternoftraitinterrelationship
shouldbe
seen
in
all
trian les.
The
exam le
clearlymeetsthiscriterion.Noticethatinall
approximatelytwice
as
large
as
the
.
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Reliabilityhastodowiththequalityof
measurement.In
its
ever da
sense,
reliabilit
isthe"consistency"or"repeatability"ofyour
.
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PilotTesting
DoubleCheckDataBeforeEntering
Triangulation
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Inresearch,thetermreliabilitymeans
"re eatabilit "or
"consistenc ".
A
measure
is
consideredreliableifitwouldgiveusthe
thatwhat
we
are
measuring
isn't
changing!).
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varianceofthetruescore/thevarianceof
themeasure
Wecan'tcomputereliabilitybecausewe
'
EstimatingReliability
[covariance(X1,X2)]/sd(X1)*sd(X2)
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n er a eror n er server e a yUsedtoassessthedegreetowhichdifferentraters/observersgiveconsistentestimatesofthesamephenomenon.
es e es e a yUsedtoassesstheconsistencyofameasurefromonetimetoanother.
ara e orms e a ty
Usedto
assess
the
consistency
of
the
results
of
two
tests
constructedinthesamewayfromthesamecontentdomain.
Interna Cons stencyRe a tyUsedtoassesstheconsistencyofresultsacrossitemswithinatest.
Inter Rater or Inter Observer
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InterRaterorInterObserver
Reliability
Correlation
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Correlation
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Ininterna consistencyre ia i ityestimationweuseoursinglemeasurementinstrumenta m n s ere
o
a
group
o
peop e
on
one
occasiontoestimatereliability.
Ineffectwejudgethereliabilityoftheinstrumentby
estimating
how
well
the
items
that
reflect
the
sameconstructy e s m arresu ts.
Wearelookingathowconsistenttheresultsarefor
different
items
for
the
same
construct
within
themeasure.
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AverageInteritemCorrelation
SplitHalfReliability
Cronbach's Alpha
(a)
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'
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'
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