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This paper demonstrates
appropriate techniques from
Stata specifically designed to
handle a sample survey.
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In Simple Random Sampling
In case of a simple random sampling, every member has an equal chance of being included in the sample.
This method doesn't favor certain members/groups.
Each individual has 1/N probability of being sampled
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Sample Allocation
Region
% of sample
Number of Households
South
2.7%
338
West
12.2%
1405
North
20.9%
2643
East
32.7%
4145
Kigali
31.5%
4009
Total Rwanda
100%
12540
Target Sample = 12540 households
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Variable
Obs
Mean
psu_no_ov
38,060
1019.173
Std. Dev.
583.3237
Min
Max
1
2035
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MMR – Maternal Mortality Rate
Research question
(identify target pop’n, age
group)
Identify variables and
dataset
Generate
variables
Descriptive
statistics
Conceptual framework
Univariate
regression
analysis
Collinearity
or
interaction
Multivariable
regression
analysis
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Source:- DHS course- Population Survey Analysis course
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First stage – 492 clusters selected from 2010 census frame (urban and rural)
Systematically selected with probability proportional to size (PPS)
The second stage involved selecting a sample of households in these enumeration areas
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THANK YOU
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