Selection Bias in College Admissions Test Scores
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.
|Date of creation:||Aug 2008|
|Date of revision:|
|Publication status:||published as 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.|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
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- Murphy, Kevin M & Topel, Robert H, 1985.
"Estimation and Inference in Two-Step Econometric Models,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 3(4), pages 370-79, October.
- Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
- 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.
- Katharine G. Abraham & Melissa A. Clark, 2006.
"Financial Aid and Students’ College Decisions: Evidence from the District of Columbia Tuition Assistance Grant Program,"
Journal of Human Resources,
University of Wisconsin Press, vol. 41(3).
- Katharine G Abraham Melissa Clark, 2003. "Financial Aid and Students College Decisions Evidence from the District of Columbias Tuition Assistance Grant Program," Mathematica Policy Research Reports 328d6cb850c54baa8e93795d5, Mathematica Policy Research.
- Katharine Abraham & Melissa A. Clark, 2003. "Financial Aid and Students' College Decisions: Evidence from the District of Columbia's Tuition Assistance Grant Program," NBER Working Papers 10112, National Bureau of Economic Research, Inc.
- Card, David & Payne, A. Abigail, 2002. "School finance reform, the distribution of school spending, and the distribution of student test scores," Journal of Public Economics, Elsevier, vol. 83(1), pages 49-82, January.
- Dynarski, Mark & Gleason, Philip, 1993. "Using scholastic aptitude test scores as indicators of state educational performance," Economics of Education Review, Elsevier, vol. 12(3), pages 203-211, September.
- Eric A. Hanushek & Lori L. Taylor, 1990. "Alternative Assessments of the Performance of Schools: Measurement of State Variations in Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 25(2), pages 179-201.
- Dynarski, Mark, 1987. "The Scholastic Aptitude Test: Participation and performance," Economics of Education Review, Elsevier, vol. 6(3), pages 263-273, June.
- Gronau, Reuben, 1974. "Wage Comparisons-A Selectivity Bias," Journal of Political Economy, University of Chicago Press, vol. 82(6), pages 1119-43, Nov.-Dec..
- Jacob L. Vigdor & Charles T. Clotfelter, 2003. "Retaking the SAT," Journal of Human Resources, University of Wisconsin Press, vol. 38(1).
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
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