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Improving College Performance and Retention the Easy Way: Unpacking the ACT Exam

Author

Listed:
  • Eric P. Bettinger
  • Brent J. Evans
  • Devin G. Pope

Abstract

Colleges rely on the ACT exam in their admission decisions to increase their ability to differentiate between students likely to succeed and those that have a high risk of under-performing and dropping out. We show that two of the four sub tests of the ACT, English and Mathematics, are highly predictive of positive college outcomes while the other two subtests, Science and Reading, provide little or no additional predictive power. This result is robust across various samples, specifications, and outcome measures. We demonstrate that focusing solely on the English and Mathematics test scores greatly enhances the predictive validity of the ACT exam.

Suggested Citation

  • Eric P. Bettinger & Brent J. Evans & Devin G. Pope, 2011. "Improving College Performance and Retention the Easy Way: Unpacking the ACT Exam," NBER Working Papers 17119, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:17119
    Note: ED LS
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    Cited by:

    1. Black, Sandra E. & Lincove, Jane & Cullinane, Jennifer & Veron, Rachel, 2015. "Can you leave high school behind?," Economics of Education Review, Elsevier, vol. 46(C), pages 52-63.
    2. Pedro Luis Silva, 2024. "Specialists or All-Rounders: How Best to Select University Students?," Journal of Human Capital, University of Chicago Press, vol. 18(2), pages 227-271.
    3. Cheng Qian & Cory Koedel, 2024. "Could Shifting the Margin Between Community College and University Enrollment Expand and Diversify University Degree Production in STEM Fields?," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(1), pages 42-69, February.
    4. Beattie, Graham & Laliberté, Jean-William P. & Oreopoulos, Philip, 2018. "Thrivers and divers: Using non-academic measures to predict college success and failure," Economics of Education Review, Elsevier, vol. 62(C), pages 170-182.
    5. Liane Moneta-Koehler & Abigail M Brown & Kimberly A Petrie & Brent J Evans & Roger Chalkley, 2017. "The Limitations of the GRE in Predicting Success in Biomedical Graduate School," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-17, January.
    6. Rajeev Darolia & Cory Koedel & Joyce B. Main & Felix Ndashimye & Junpeng Yan, 2020. "High School Course Access and Postsecondary STEM Enrollment and Attainment," Working Papers 2004, Department of Economics, University of Missouri.
    7. Bai, Chong-en & Chi, Wei & Qian, Xiaoye, 2014. "Do college entrance examination scores predict undergraduate GPAs? A tale of two universities," China Economic Review, Elsevier, vol. 30(C), pages 632-647.
    8. Bulman, George, 2017. "Weighting recent performance to improve college and labor market outcomes," Journal of Public Economics, Elsevier, vol. 146(C), pages 97-108.
    9. Gandil, Mikkel & Leuven, Edwin, 2022. "College admission as a screening and sorting device," Memorandum 2/2022, Oslo University, Department of Economics.
    10. Loris P Fagioli & Rachel Baker & Gabe Avakian Orona, 2020. "The Role of Non-cognitive Variables in Identifying Community College Students in Need of Targeted Supports," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(6), pages 725-763, September.
    11. Judith Scott-Clayton & Peter M. Crosta & Clive R. Belfield, 2012. "Improving the Targeting of Treatment: Evidence from College Remediation," NBER Working Papers 18457, National Bureau of Economic Research, Inc.
    12. Germán Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," CRC TR 224 Discussion Paper Series crctr224_2023_490, University of Bonn and University of Mannheim, Germany.
    13. Hinrichs, Peter, 2014. "Affirmative action bans and college graduation rates," Economics of Education Review, Elsevier, vol. 42(C), pages 43-52.
    14. Germ'an Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," Papers 2301.02575, arXiv.org.
    15. Pedro Luis Silva & Carla Sá & Ricardo Biscaia & Pedro N. Teixeira, 2022. "High school and exam scores: Does their predictive validity for academic performance vary with programme selectivity?," NIPE Working Papers 4/2022, NIPE - Universidade do Minho.
    16. Foote, Andrew & Schulkind, Lisa & Shapiro, Teny M., 2015. "Missed signals: The effect of ACT college-readiness measures on post-secondary decisions," Economics of Education Review, Elsevier, vol. 46(C), pages 39-51.
    17. Yang, Guangliang, 2014. "Are all admission sub-tests created equal? — Evidence from a National Key University in China," China Economic Review, Elsevier, vol. 30(C), pages 600-617.
    18. Lenard, Matthew & Morrill, Melinda Sandler & Westall, John, 2020. "High school start times and student achievement: Looking beyond test scores," Economics of Education Review, Elsevier, vol. 76(C).
    19. Vincenzo CARRIERI & Marcello D'AMATO & Roberto ZOTTI, 2013. "Selective Admission Tests and Students' Performances. Evidence from a Natural Experiment in a Large Italian University," CELPE Working Papers 0/00, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.
    20. Corsi, Matteo & di Bella, Enrico & Persico, Luca, 2024. "A reassessment of graduation modeling for policy design," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).

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    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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