Title

Methodological Considerations in Using Complex Survey Data: An Applied Example With the Head Start Family and Child Experiences Survey

Authors

Authors

D. L. Hahs-Vaughn; C. M. McWayne; R. J. Bulotsky-Shearer; X. L. Wen;A. M. Faria

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Eval. Rev.

Keywords

complex samples; survey weights; sampling weights; survey research; multilevel modeling; SAMPLE WEIGHTS; MODELS; INFERENCE; GROWTH; Social Sciences, Interdisciplinary

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.

Journal Title

Evaluation Review

Volume

35

Issue/Number

3

Publication Date

1-1-2011

Document Type

Article

Language

English

First Page

269

Last Page

303

WOS Identifier

WOS:000294814400004

ISSN

0193-841X

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