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

    Authors

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

    Comments

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    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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