A survey on survey statistics: What is done and can be done in Stata
Frauke Kreuter
Joint Program in Survey Methodology
University of Maryland,
College Park
[email protected]
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Richard Valliant
Joint Program in Survey Methodology
University of Michigan, Ann Arbor
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Abstract. This article will survey issues in analyzing complex survey data and
describe some of the capabilities of Stata for such analyses. We will
briefly review key elements of survey design and explain the effects of
different design features on bias and variance. We compare different methods
of variance estimation for stratified and clustered samples and discuss the
handling of survey weights. We will also give examples for the practical
importance of Stata’s survey capabilities.
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Frauke Kreuter, Richard Valliant
View all articles with these keywords:
cluster sampling, complex design, nonresponse, stratified sampling, variance estimation, weights, DEFECT, NHANES, NHIS, PISA
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