Title
Methodological Considerations In Using Complex Survey Data: An Applied Example With The Head Start Family And Child Experiences Survey
Keywords
complex samples; multilevel modeling; sampling weights; survey research; survey weights
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. © The Author(s) 2011.
Publication Date
6-1-2011
Publication Title
Evaluation Review
Volume
35
Issue
3
Number of Pages
269-303
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/0193841X11412071
Copyright Status
Unknown
Socpus ID
80052655997 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/80052655997
STARS Citation
Hahs-Vaughn, Debbie L.; McWayne, Christine M.; Bulotsky-Shearer, Rebecca J.; Wen, Xiaoli; and Faria, Ann Marie, "Methodological Considerations In Using Complex Survey Data: An Applied Example With The Head Start Family And Child Experiences Survey" (2011). Scopus Export 2010-2014. 2446.
https://stars.library.ucf.edu/scopus2010/2446