JD‐Next: A valid and reliable tool to predict diverse students' success in law school
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DOI: 10.1111/jels.12342
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References listed on IDEAS
- A Susan M Niessen & Rob R Meijer & Jorge N Tendeiro, 2016. "Predicting Performance in Higher Education Using Proximal Predictors," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-14, April.
- Amy N. Farley & Christopher M. Swoboda & Joel Chanvisanuruk & Keanen M. McKinley & Alicia Boards & Courtney Gilday, 2019. "A Deeper Look at Bar Success: The Relationship Between Law Student Success, Academic Performance, and Student Characteristics," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(3), pages 605-629, September.
- Alexia Brunet Marks & Scott A. Moss, 2016. "What Predicts Law Student Success? A Longitudinal Study Correlating Law Student Applicant Data and Law School Outcomes," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 13(2), pages 205-265, June.
- A Susan M Niessen & Rob R Meijer & Jorge N Tendeiro, 2018. "Admission testing for higher education: A multi-cohort study on the validity of high-fidelity curriculum-sampling tests," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-21, June.
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