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309 – Monte Carlo Methodology
Design Effects in Surveys That Require Oversampling of Certain Subpopulations
Kadaba Srinath
Abt SRBI
The design effect is the ratio of the variance of an estimated parameter from a survey using a complex sampling design to the variance of the same estimate under simple random sampling with the same total sample size. This is a useful tool estimate sample sizes for future surveys that use complex sampling desings. It also provides a measure of the precison of the design. To compute the design effect we need to estimate both the numerator and the denominator of the ratio.
For computing the design effect of estimates in surveys which require oversampling of certain subpopulations, what is the appropriate variance of the estimate under simple random sampling. Since oversampling is a basic objective of the survey, we look at the variance under simple random sampling with oversampling of subpopualations. We look at design effects with and wihtout oversampling requirement under simple random sampling.