A survey on survey statistics: What is done and can be done in Stata

Frauke Kreuter () and Richard Valliant
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Richard Valliant: Joint Program in Survey Methodology, University of Michigan, Ann Arbor

Stata Journal, 2007, vol. 7, issue 1, pages 1-21

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. Copyright 2007 by StataCorp LP.

Keywords: cluster sampling; complex design; nonresponse; stratified sampling; variance estimation; weights; DEFECT; NHANES; NHIS; PISA (search for similar items in EconPapers)
Date: 2007
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