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Selection bias in college admissions test scores

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  • Clark, Melissa
  • Rothstein, Jesse
  • Schanzenbach, Diane Whitmore

Abstract

Data from college admissions tests can provide a valuable measure of student achievement, but the non-representativeness of test-takers is an important concern. We examine selectivity bias in both state-level and school-level SAT and ACT averages. The degree of selectivity may differ importantly across and within schools, and across and within states. To identify within-state selectivity, we use a control function approach that conditions on scores from a representative test. Estimates indicate strong selectivity of test-takers in "ACT states," where most college-bound students take the ACT, and much less selectivity in SAT states. To identify within- and between-school selectivity, we take advantage of a policy reform in Illinois that made taking the ACT a graduation requirement. Estimates based on this policy change indicate substantial positive selection into test participation both across and within schools. Despite this, school-level averages of observed scores are extremely highly correlated with average latent scores, as across-school variation in sample selectivity is small relative to the underlying signal. As a result, in most contexts the use of observed school mean test scores in place of latent means understates the degree of between-school variation in achievement but is otherwise unlikely to lead to misleading conclusions.

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  • Clark, Melissa & Rothstein, Jesse & Schanzenbach, Diane Whitmore, 2009. "Selection bias in college admissions test scores," Economics of Education Review, Elsevier, vol. 28(3), pages 295-307, June.
  • Handle: RePEc:eee:ecoedu:v:28:y:2009:i:3:p:295-307
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    Cited by:

    1. Card, David & Rothstein, Jesse, 2007. "Racial segregation and the black-white test score gap," Journal of Public Economics, Elsevier, vol. 91(11-12), pages 2158-2184, December.
    2. Goodman, Joshua & Hurwitz, Michael & Smith, Jonathan & Fox, Julia, 2016. "Reprint of “The relationship between siblings’ college choices: Evidence from one million SAT-taking families”," Economics of Education Review, Elsevier, vol. 51(C), pages 125-135.
    3. Goodman, Joshua & Hurwitz, Michael & Smith, Jonathan & Fox, Julia, 2015. "The relationship between siblings’ college choices: Evidence from one million SAT-taking families," Economics of Education Review, Elsevier, vol. 48(C), pages 75-85.
    4. Sezgin Polat & Jean-Jacques Paul, 2016. "How to predict university performance: a case study from a prestigious Turkish university?," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 22, pages 423-434, Asociación de Economía de la Educación.
    5. Rothstein, Jesse M, 2006. "Good Principals or Good Peers? Parental Valuation of School Characteristics, Tiebout Equilibrium, and the Incentive Effects of Competition among Jurisdictions," Department of Economics, Working Paper Series qt9kz4s6v9, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Guyonne Kalb & Sholeh Maani, 2011. "How important are omitted variables, censored scores and self-selection in analysing high-school academic achievement?," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 14(3), pages 307-332.
    7. Jesse M. Rothstein, 2006. "Good Principals or Good Peers? Parental Valuation of School Characteristics, Tiebout Equilibrium, and the Incentive Effects of Competition among Jurisdictions," American Economic Review, American Economic Association, vol. 96(4), pages 1333-1350, September.
    8. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    9. Kaitlin Anderson & Gema Zamarro & Jennifer Steele & Trey Miller, 2021. "Comparing Performance of Methods to Deal With Differential Attrition in Randomized Experimental Evaluations," Evaluation Review, , vol. 45(1-2), pages 70-104, February.
    10. Sarena Goodman, 2013. "Learning from the test: raising selective college enrollment by providing information," Finance and Economics Discussion Series 2013-69, Board of Governors of the Federal Reserve System (U.S.).
    11. Raj Aggarwal & Joanne Goodell & John Goodell, 2014. "Culture, Gender, and GMAT Scores: Implications for Corporate Ethics," Journal of Business Ethics, Springer, vol. 123(1), pages 125-143, August.

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    More about this item

    Keywords

    College admissions test Selection bias Heckit SAT;

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • I20 - Health, Education, and Welfare - - Education - - - General

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