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Complex Sample Data Recommendations and Troubleshooting

Author

Listed:
  • Debbie L. Hahs-Vaughn
  • Christine M. McWayne
  • Rebecca J. Bulotsky-Shearer
  • Xiaoli Wen
  • Ann-Marie Faria

Abstract

Complex survey data, as highlighted in this issue of Evaluation Review, provide a wealth of opportunities for answering methodological and/or applied research questions. However, the analytic issues of nonindependence and unequal selection probability must be addressed when analyzing this type of data. Thus, to ensure that research questions are accurately answered when using complex survey data, researchers must take extra precautions to ensure complex survey data are correctly analyzed. The purpose of this article is to provide software recommendations for analysis of and tips on troubleshooting when analyzing complex sample data.

Suggested Citation

  • Debbie L. Hahs-Vaughn & Christine M. McWayne & Rebecca J. Bulotsky-Shearer & Xiaoli Wen & Ann-Marie Faria, 2011. "Complex Sample Data Recommendations and Troubleshooting," Evaluation Review, , vol. 35(3), pages 304-313, June.
    • Handle: RePEc:sae:evarev:v:35:y:2011:i:3:p:304-313
    DOI: 10.1177/0193841X11412070
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    Cited by:

    1. Kaufman, Sanda & Ozawa, Connie P. & Shmueli, Deborah F., 2014. "Evaluating participatory decision processes: Which methods inform reflective practice?," Evaluation and Program Planning, Elsevier, vol. 42(C), pages 11-20.

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