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Data Loss from Pretest to Posttest as a Sample Selection Problem

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  • Becker, William E
  • Walstad, William B

Abstract

When estimating regression models of educational achievement with pre- and posttest data, researchers have overlooked a sample selection bias that may occur even where initial assignment to the control and experimental groups is random. The bias arises because students who take the pretest but do not take the posttest are excluded from the regression analysis. Using data from a nationally normed test of high school student knowledge of economics, adjustment for this bias is shown to influence the estimated effectiveness of programs aimed at increasing student learning of economics. Copyright 1990 by MIT Press.

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  • Becker, William E & Walstad, William B, 1990. "Data Loss from Pretest to Posttest as a Sample Selection Problem," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 184-188, February.
  • Handle: RePEc:tpr:restat:v:72:y:1990:i:1:p:184-88
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    Cited by:

    1. Paul W. Grimes & Paul S. Nelson, 1998. "The Social Issues Pedagogy vs. The Traditional Principles of Economics: An Empirical Examination," The American Economist, Sage Publications, vol. 42(1), pages 56-64, March.
    2. William Bosshardt & Peter E. Kennedy, 2011. "Data Resources and Econometric Techniques," Chapters,in: International Handbook on Teaching and Learning Economics, chapter 35 Edward Elgar Publishing.
    3. Paul W. Grimes, 1995. "Economic Education for At-Risk Students: An Evaluation of Choices & Changes," The American Economist, Sage Publications, vol. 39(1), pages 71-83, March.
    4. Mandel, Philipp & Süssmuth, Bernd, 2011. "Size matters. The relevance and Hicksian surplus of preferred college class size," Economics of Education Review, Elsevier, vol. 30(5), pages 1073-1084, October.
    5. A. J. Reynolds & J. A. Temple, "undated". "Extended early childhood intervention and school achievement: Age 13 findings from the Chicago longitudinal study," Institute for Research on Poverty Discussion Papers 1095-96, University of Wisconsin Institute for Research on Poverty.
    6. Kim Sosin & Betty J. Lecha & Rajshree Agarwal & Robin L. Bartlett & Joseph I. Daniel, 2004. "Efficiency in the Use of Technology in Economic Education: Some Preliminary Results," American Economic Review, American Economic Association, vol. 94(2), pages 253-258, May.
    7. repec:pal:easeco:v:44:y:2018:i:3:d:10.1057_s41302-017-0093-2 is not listed on IDEAS
    8. Grimes, Paul W. & Millea, Meghan J. & Thomas, M. Kathleen, 2008. "District level mandates and high school students' understanding of economics," MPRA Paper 39883, University Library of Munich, Germany.
    9. Tobias Wolbring & Edgar Treischl, 2016. "Selection Bias in Students’ Evaluation of Teaching," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(1), pages 51-71, February.

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