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Pretest Measures of the Study Outcome and the Elimination of Selection Bias: Evidence from Three Within Study Comparisons

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Listed:
  • Kelly Hallberg
  • Thomas D. Cook
  • Peter M. Steiner
  • M. H. Clark

Abstract

This paper examines how pretest measures of a study outcome reduce selection bias in observational studies in education.

Suggested Citation

  • Kelly Hallberg & Thomas D. Cook & Peter M. Steiner & M. H. Clark, "undated". "Pretest Measures of the Study Outcome and the Elimination of Selection Bias: Evidence from Three Within Study Comparisons," Mathematica Policy Research Reports 0ed024ae6d1f45fd9c1c7a428, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:0ed024ae6d1f45fd9c1c7a4287d23731
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    File URL: https://link.springer.com/article/10.1007%2Fs11121-016-0732-6
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    Cited by:

    1. Fatih Unlu & Douglas Lee Lauen & Sarah Crittenden Fuller & Tiffany Berglund & Elc Estrera, 2021. "Can Quasi‐Experimental Evaluations That Rely On State Longitudinal Data Systems Replicate Experimental Results?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(2), pages 572-613, March.
    2. Vivian C. Wong & Peter M. Steiner & Kylie L. Anglin, 2018. "What Can Be Learned From Empirical Evaluations of Nonexperimental Methods?," Evaluation Review, , vol. 42(2), pages 147-175, April.

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