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Overview of the PNG National Micronutrient Survey
Steps for survey workers
Training Travel to clusters Introduction to local leaders Selection of households Visiting households
• Consent
• Interviews
• Anthropometric measurements
• Laboratory testing and collection of specimens
Sampling - Definition
What is sampling?
Sampling is the process of selecting a number of subjects from all the subjects in the population.
Sampling - Definition
A sample is the selected subset of subjects.
What is a sample?
Sampling - Purpose
Why do sampling?
Sample because we cannot measure every person in the population.
Sampling - Goal
What is the goal of sampling?
The goal of sampling is to estimate some measure in the larger population.
Sampling - Goal
What is necessary to achieve this goal?
To estimate some measure in the larger population, the sample must be representative of that larger population.
Sampling - Goal
Regardless of the sampling method, if the sample is not representative, it tells you nothing about the population.
Remember this point!
Sampling
Why don't we weigh and measure every child and woman in Papua New Guinea?
Sampling
Population of Papua New Guinea (2000 census)
726,680 children less than 5 years of age
1,298,503 women 15-49 years of age
13 women and 13 children per day per team with 6 teams would take 16,648 days or
45.6 years
Sampling
How do we select households to include in the survey?
Random sampling
Sampling
Selecting individuals or households so that no person has any
influence on which individuals or households are selected.
What is random sampling?
Regions of Papua New Guinea
Southern
Momase
Highlands
Island
2-stage sampling
Region of PNG
CU 1 CU 8CU 2 CU 3 CU 4 CU 5 CU 6 CU 7
HH 1 HH 2 HH 3 HH 4 HH 5 HH 6 HH 7 HH 8 HH 9 HH 10 HH 11 HH 12 HH 13
HH 14 HH 15 HH 16 HH 17 HH 18 HH 19 HH 20 HH 21 HH 22 HH 23 HH 24 HH 25
List of all census units in PNG
Selected census units
Selecting households
How do we select households in each selected census unit?
Make list of all households in census unit Randomly select the number of households
needed Visit each selected household
Simple random sampling
Household
Smith
Pfeiffer
Anderson
Timmer
Huff
Hunt
Parvanta
Grummer-Strawn
Bobrow
Cooper
Random number table
7678 2352 6959 1937 2554 6804 9098 4316 4318 2346 7276 1880 7136 9603 0163 3152 7000 2865 8357 4475 9804 0042 1106 7949 2932 9958 9582 2235 1140 1164 7841 1688 4097 8995 5030 1785 5420 0125 4953 1332 5540 6278 1584 4392 3258 1374 1617 7427
Number
1
2
3
4
5
6
7
8
9
0
(Draw sample of 5 people)
Simple random sampling
Household
Smith
Pfeiffer
Anderson
Timmer
Huff
Hunt
Parvanta
Grummer-Strawn
Bobrow
Cooper
Random number table
7648 2352 6959 1937 2554 6804 9098 4316 4318 2346 7276 1880 7136 9603 0163 3152 7000 2865 8357 4475 9804 0042 1106 7949 2932 9958 9582 2235 1140 1164 7841 1688 4097 8995 5030 1785 5420 0125 4953 1332 5540 6278 1584 4392 3258 1374 1617 7427
Number
1
2
3
4
5
6
7
8
9
0
(Draw sample of 5 people)
Simple random sampling (select 20 households)
1 Iwais M
2 Teiaba C
3 Marau G
4 Aaron L
5 Oksen V
6 Pinpin B
7 Mabong P
8 Ngatia T
9 Gunure N
10 Agua C
11 Mogina W
12 Aulakua W
13 Wasoraba C
14 Zonggonau M
15 Tobena M
16 Mabong F
17 Yaman H
18 Bagita J
19 Baria M
20 Harekin J
21 Awalum E
22 Douna B
23 Guba V
24 Posou P
25 Huape H
26 Makaen J
27 Veia D
28 Hainapa B
29 Narakine G
30 Haung E
31 Tito M
32 Pasi N
33 Kapua K
34 Tulia R
35 Koddy F
36 Tulia E
37 Tripp K
38 Bowen B
39 Temple V
40 Bowen B
Simple random sampling (select 20 households)
1 Iwais M
2 Teiaba C
3 Marau G
4 Aaron L
5 Oksen V
6 Pinpin B
7 Mabong P
8 Ngatia T
9 Gunure N
10 Agua C
11 Mogina W
12 Aulakua W
13 Wasoraba C
14 Zonggonau M
15 Tobena M
16 Mabong F
17 Yaman H
18 Bagita J
19 Baria M
20 Harekin J
21 Awalum E
22 Douna B
23 Guba V
24 Posou P
25 Huape H
26 Makaen J
27 Veia D
28 Hainapa B
29 Narakine G
30 Haung E
31 Tito M
32 Pasi N
33 Kapua K
34 Tulia R
35 Koddy F
36 Tulia E
37 Tripp K
38 Bowen B
39 Temple V
40 Bowen B
Random number table
3640 2352 6959 1937 2554 6804 9098 4316 4318 2346 7276 1880 7136 9603 0163 3152 7000 2865 8357 4475 9804 0042 1106 7949 2932 9958 9582 2235 1140 1164 7841 1688 4097 8995 5030 1785 5420 0125 4953 1332 5540 6278 1584 4392 3258 1374 1617 7427 3320 8788 7658 9615 9862 7960 8140 6807 8077 2065 2560 2091 8921 0970 3134 8441
Simple random sampling (select 20 households)
1 Iwais M
2 Teiaba C
3 Marau G
4 Aaron L
5 Oksen V
6 Pinpin B
7 Mabong P
8 Ngatia T
9 Gunure N
10 Agua C
11 Mogina W
12 Aulakua W
13 Wasoraba C
14 Zonggonau M
15 Tobena M
16 Mabong F
17 Yaman H
18 Bagita J
19 Baria M
20 Harekin J
21 Awalum E
22 Douna B
23 Guba V
24 Posou P
25 Huape H
26 Makaen J
27 Veia D
28 Hainapa B
29 Narakine G
30 Haung E
31 Tito M
32 Pasi N
33 Kapua K
34 Tulia R
35 Koddy F
36 Tulia E
37 Tripp K
38 Bowen B
39 Temple V
40 Bowen B
Random number table
3640 2352 6959 1937 2554 6804 9098 4316 4318 2346 7276 1880 7136 9603 0163 3152 7000 2865 8357 4475 9804 0042 1106 7949 2932 9958 9582 2235 1140 1164 7841 1688 4097 8995 5030 1785 5420 0125 4953 1332 5540 6278 1584 4392 3258 1374 1617 7427 3320 8788 7658 9615 9862 7960 8140 6807 8077 2065 2560 2091 8921 0970 3134 8441
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Selected households
Simple random sampling (select 20 households)
1 Iwais M
2 Teiaba C
3 Marau G
4 Aaron L
5 Oksen V
6 Pinpin B
7 Mabong P
8 Ngatia T
9 Gunure N
10 Agua C
11 Mogina W
12 Aulakua W
13 Wasoraba C
14 Zonggonau M
15 Tobena M
16 Mabong F
17 Yaman H
18 Bagita J
19 Baria M
20 Harekin J
21 Awalum E
22 Douna B
23 Guba V
24 Posou P
25 Huape H
26 Makaen J
27 Veia D
28 Hainapa B
29 Narakine G
30 Haung E
31 Tito M
32 Pasi N
33 Kapua K
34 Tulia R
35 Koddy F
36 Tulia E
37 Tripp K
38 Bowen B
39 Temple V
40 Bowen B
1 Tulia E
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Selected households
Random number table
3640 2352 6959 1937 2554 6804 9098 4316 4318 2346 7276 1880 7136 9603 0163 3152 7000 2865 8357 4475 9804 0042 1106 7949 2932 9958 9582 2235 1140 1164 7841 1688 4097 8995 5030 1785 5420 0125 4953 1332 5540 6278 1584 4392 3258 1374 1617 7427 3320 8788 7658 9615 9862 7960 8140 6807 8077 2065 2560 2091 8921 0970 3134 8441
Simple random sampling (select 20 households)
1 Iwais M
2 Teiaba C
3 Marau G
4 Aaron L
5 Oksen V
6 Pinpin B
7 Mabong P
8 Ngatia T
9 Gunure N
10 Agua C
11 Mogina W
12 Aulakua W
13 Wasoraba C
14 Zonggonau M
15 Tobena M
16 Mabong F
17 Yaman H
18 Bagita J
19 Baria M
20 Harekin J
21 Awalum E
22 Douna B
23 Guba V
24 Posou P
25 Huape H
26 Makaen J
27 Veia D
28 Hainapa B
29 Narakine G
30 Haung E
31 Tito M
32 Pasi N
33 Kapua K
34 Tulia R
35 Koddy F
36 Tulia E
37 Tripp K
38 Bowen B
39 Temple V
40 Bowen B
1 Tulia E
2 Bowen B
3 Guba V
4 Baria M
5 Tripp K
6 Huape H
7 Aaron L
8 Mabong F
9 Bagita J
10 Marau G
11 Iwais M
12 Tito M
13 Hainapa B
14 Mogina W
15 Pinpin B
16 Narakine G
17 Pasi N
18 Douna B
19 Koddy F
20 Haung E
Selected households
Random number table
3640 2352 6959 1937 2554 6804 9098 4316 4318 2346 7276 1880 7136 9603 0163 3152 7000 2865 8357 4475 9804 0042 1106 7949 2932 9958 9582 2235 1140 1164 7841 1688 4097 8995 5030 1785 5420 0125 4953 1332 5540 6278 1584 4392 3258 1374 1617 7427 3320 8788 7658 9615 9862 7960 8140 6807 8077 2065 2560 2091 8921 0970 3134 8441
Householdlisting form
Cluster Number
HOUSEHOLD
NUMBER NAME OF HEAD OF HOUSEHOLD
PAPUA NEW GUINEA NATIONAL NUTRITION SURVEY HOUSEHOLD L ISTING
Cluster controlform
Random number table
Possible problems
Problem Village too small (has less
than 20 households)
Village too big to make household list
Solution Include as many
households as possible
• Add next closest village Segmentation before
listing
stream
church
Sea
Hotel
factory
HighwaySchool
factory
stream
church
Sea
Hotel
factory
HighwaySchool
factory
150
120
170
190 40
70
130
220
60
SEGMENT A
SEGMENT G
SEGMENT I
SEGMENT H
SEGMENT E
SEGMENT D
SEGMENT C
SEGMENT B
SEGMENT F
Random number from random number table - 0163
Segment Population Cumulative population
Range
Segment A 150 150 0-150
Segment B 190 320 151- 320
Segment C 170 490 321-490
Segment D 120 610 490 - 610
Segment E 130 740 611 - 740
Segment F 70 810 741 - 810
Segment G 40 850 811 - 850
Segment A 220 1070 851 - 1070
Segment I 60 1130 1071 - 1130
Who to include in the survey
All children 6-59 months of age in selected households
All women 15-49 years of age in every second household
All men 18 years of age and above in every second household
How to tell which householdsto enroll womenand men
Sampling
Team leaders will receive more detailed training in household sampling
Procedures in each household
Introduceyourself
Obtainconsents
Interviewhead of HH
Interviewmother
Interviewman
Measurewomen, men, and children
Collectlab
specimens
Processlab
specimens
Clean up and depart
What if no one is at home?
Ask neighbors or others where family is If family gone temporarily, return later If family still not home, return again the next day If family not home on third visit, complete
household checklist "Not at home"
Culturally Diverse Pictures for Use in Various Training Settings
Introduce yourself to household
Interview
Interview
Interview
Interview
Anthropometric measurements
Anthropometric measurements
Anthropometric measurements
Anthropometric measurements
Anthropometric measurements
Anthropometric measurements
Anthropometric measurements
Anthropometric measurements
Anthropometric measurements
Collecting laboratory specimens
Collecting laboratory specimens
Collecting laboratory specimens
Collecting laboratory specimens
Blood spots on filter paper
Collecting laboratory specimens
Collecting laboratory specimens
Logistics
Travel by air to outlying areas Focal point in each province will maintain stock of
supplies and equipment Teams should carry enough supplies for 3 clusters Return to focal point when need resupply