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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: Gail M. Hoyt & KimMarie McGoldrick (ed.), 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. 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.
    5. T. Aldrich Finegan & John J. Siegfried, 2000. "Are Student Ratings of Teaching Effectiveness Influenced by Instructors' English Language Proficiency?," The American Economist, Sage Publications, vol. 44(2), pages 17-29, October.
    6. Tisha L. N. Emerson & Linda K. English & KimMarie McGoldrick, 2018. "The High Costs of Large Enrollment Classes: Can Cooperative Learning Help?," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 44(3), pages 455-474, June.
    7. 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.
    8. Elchanan Cohn & Sharon Cohn & Donald C. Balch & James Bradley, 2001. "Do Graphs Promote Learning in Principles of Economics?," The Journal of Economic Education, Taylor & Francis Journals, vol. 32(4), pages 299-310, January.
    9. Tisha L. N. Emerson & KimMarie McGoldrick, 2023. "An investigation of unsuccessful performance and subsequent retake behavior in principles of economics," Southern Economic Journal, John Wiley & Sons, vol. 89(3), pages 986-1021, January.
    10. 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.
    11. Vincenzo Andrietti & Carlos Velasco, 2015. "Lecture Attendance, Study Time, and Academic Performance: A Panel Data Study," The Journal of Economic Education, Taylor & Francis Journals, vol. 46(3), pages 239-259, July.
    12. 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.
    13. Karanja, Erastus & Zaveri, Jigish & Ahmed, Ashraf, 2013. "How do MIS researchers handle missing data in survey-based research: A content analysis approach," International Journal of Information Management, Elsevier, vol. 33(5), pages 734-751.
    14. Charles Ballard & Marianne Johnson, 2005. "Gender, Expectations, And Grades In Introductory Microeconomics At A Us University," Feminist Economics, Taylor & Francis Journals, vol. 11(1), pages 95-122.

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