Methodological Considerations in Using Complex Survey Data

Debbie L. Hahs-Vaughn, Christine M. McWayne, Rebecca J. Bulotsky-Shearer, Xiaoli Wen and Ann-Marie Faria

Evaluation Review, 2011, vol. 35, issue 3, 269-303

Abstract: Complex survey data are collected by means other than simple random samples. This creates two analytical issues: nonindependence and unequal selection probability. Failing to address these issues results in underestimated standard errors and biased parameter estimates. Using data from the nationally representative Head Start Family and Child Experiences Survey (FACES; 1997 and 2000 cohorts), three diverse multilevel models are presented that illustrate differences in results depending on addressing or ignoring the complex sampling issues. Limitations of using complex survey data are reported, along with recommendations for reporting complex sample results.

Keywords: complex samples; survey weights; sampling weights; survey research; multilevel modeling (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:35:y:2011:i:3:p:269-303

DOI: 10.1177/0193841X11412071

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