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Multiple Indicator Cluster Surveys Survey Design Workshop

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Presentation on theme: "Multiple Indicator Cluster Surveys Survey Design Workshop"— Presentation transcript:

1 Multiple Indicator Cluster Surveys Survey Design Workshop
Sampling Overview MICS4 Survey Design Workshop

2 MICS4 Survey Design Workshop
Introduction MICS is multi-national survey program Consistency and comparability between surveys is important MICS based on national stratified multi-stage sample Workshop session covers highlights of MICS sampling, including: Identifying effective sampling frame and sample design Determinants and calculation of sample size MICS4 Survey Design Workshop

3 Importance of correct sampling procedures
Sample design will affect inferences of survey results Coverage of frame and appropriate probability sampling are critical Accuracy of survey results depends on both sampling and non-sampling errors MICS4 Survey Design Workshop

4 Key concepts in proper sampling
Use accepted probability techniques at every stage of selection Use of simple sampling methodology Use the latest census as the sampling frame when available Sampling in two stages Use of clusters of moderate size Use of an adequate sample size MICS4 Survey Design Workshop

5 MICS4 prototype sample design
Manual presents different sampling options All options involve two or three-stage cluster sampling Primary sampling units (PSUs) – census enumeration areas Listing in sample clusters or use of compact clusters Sample households selected from listing Option for each country depends on type of frame and availability of existing samples MICS4 Survey Design Workshop

6 Sampling option 1 – use existing sample
Most cost-effective approach Determine whether existing sample is appropriate Probability sample Known probabilities of selection at each stage Nationally representative Sufficient number of sample PSUs for MICS Example – 2008 Mozambique MICS3 MICS4 Survey Design Workshop

7 Sampling option 1 – continued
Determine when listing of households in sample EAs was conducted Listing can be used if less than 1 year old Generally select new sample of households from listing Possible to use selected households from other survey Consider response burden, analytical needs for both surveys Conduct new listing in existing sample or subsample of EAs Availability of master sampling frame in some countries MICS4 Survey Design Workshop

8 Sampling option 2 – standard segment design
Based on standard segments of about 500 persons or 100 households Effective procedure when some EAs are too large for listing Three-stage sample design Measure of size for each EA – calculated number of segments EAs selected systematically with PPS Larger sample EAs with 2 or more segments subdivided One segment selected in each EA for listing, enumeration MICS4 Survey Design Workshop

9 Sampling option 3 – modified segment design
Three-stage sample design Small compact clusters with about households Measure of size of EAs – calculated number of compact clusters EAs selected systematically with PPS Mapping and segmentation in all sample EAs One compact cluster selected in each sample EA for listing, enumeration MICS4 Survey Design Workshop

10 Relationship of sampling with other aspects of survey planning
Survey budget – may determine maximum sample size Sampling plan should also take into account required timing of MICS results Estimate costs and time related to PSUs – transportation, listing Costs related to sample households – cost of interviewing (days of enumeration) MICS4 Survey Design Workshop

11 Sampling and fieldwork organization
Effective balance of number of sample PSUs and cluster size Dispersion of sample affects transportation costs, travel time Size of team of enumerators and supervisor Interviewer workload MICS4 Survey Design Workshop

12 Factors that affect sample size
Budget and resource constraints Timing and logistical considerations Select key indicators Required level of precision Need for sub-national estimates Regions, provinces, urban/rural domains MICS4 Survey Design Workshop

13 Selecting key indicators
Person variables (rates) Important indicator that will yield the largest sample size Estimated rates between 15 and 20% Target population that comprises a small proportion of the total population Children aged 12 to 23 months MICS4 Survey Design Workshop

14 Sample size determinants – sampling parameters
Level of precision – standard error, coefficient of variation (CV) Acceptable level of error - margin of error, relative margin of error Level of confidence – 95% Design effect (DEFF) – depends mostly on level of clustering in the sample Average household size Proportion of base population in total population Adjustment for non-response MICS4 Survey Design Workshop

15 Use of previous MICS or DHS results
Review sample design of previous survey Examine sample size and allocation to geographic domains Study level of precision for key indicators Design effects 95% confidence intervals Results can be used to determine sample size and allocation for new MICS MICS4 Survey Design Workshop

16 Formula for sample size calculation
Two similar spreadsheet templates for MICS4 Entry cell for each sampling parameter Formula for calculating required number of sample households Presentation and discussion of spreadsheets MICS4 Survey Design Workshop

17 MICS4 Survey Design Workshop
Sample Size Formula where n is the required sample size, expressed as number of households, for the KEY indicator 4 is factor to achieve 95 percent level of confidence, r is anticipated prevalence rate for key indicator, 1.1 is factor to raise sample size by 10 percent for potential nonresponse, deff is shortened symbol for design effect, 0.12r is margin of error to be tolerated, defined as 12 percent of r (12 percent thus represents the relative margin of error), p is proportion of total population that smallest group comprises, and is average household size. MICS4 Survey Design Workshop

18 Sample size reference table
Table 4.3 in Chapter 4 of MICS manual Can be used for specific set of parameters: Target population is 2.5% of total population DEFF = 1.5 Nonresponse rate is 10% Relative margin of error is 12% 95% level of confidence MICS4 Survey Design Workshop

19 MICS4 Survey Design Workshop
Sample Size (Households) to Estimate Coverage Rates for Smallest Target Population MICS4 Survey Design Workshop

20 Number of PSUs and cluster size
More PSUs and smaller clusters Statistically more efficient – greater dispersion of sample More costly – transportation, listing Minimum number of PSUs to 400 at national level Minimum of 30 PSUs for subnational domains Number of sample households per cluster generally in range of 15 to 30 households MICS4 Survey Design Workshop

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