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Analyzing data from complex survey designs

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  • Isabel Cañette

    (StataCorp LP)

Abstract

This presentation is a tutorial on how to analyze complex survey data in Stata. I will start by reviewing the sampling methods most frequently used for survey data and examining why a special treatment is needed to perform estimations using these data. I will discuss the concepts of stratification, clustering, sampling weights, and finite population correction, and illustrate how to account for them by using the svyset command. Once the declaration on svyset has been done, estimations can be performed by simply adding the svy prefix to a Stata command; I will show some examples. I will also discuss the variance estimators implemented in Stata for survey data: linearized, jackknife, and balanced repeated replications. Finally, I will also explain how Stata deals with subpopulation estimation, and I will explain the use of poststratification.

Suggested Citation

  • Isabel Cañette, 2010. "Analyzing data from complex survey designs," Mexican Stata Users' Group Meetings 2010 12, Stata Users Group.
  • Handle: RePEc:boc:msug10:12
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    File URL: http://fmwww.bc.edu/repec/msug2010/mex10sug_canette.pdf
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