Analysis of Differential Prediction of Law School Performance by Race/Ethnicity Based on 2011–2014 Entering Law School Classes (TR 17-01)https://lsac.org/data-research/research/analysis-differential-prediction-law-school-performance-raceethnicity-based
The Validity of Law School Admission Test Scores for Repeat Test Takers: 2010 Through 2014 Fall-Entering Law School Classes (TR 18-02)https://lsac.org/data-research/research/validity-law-school-admission-test-scores-repeat-test-takers-2010-through
Applications of Uniform Test Assembly for the LSAT (RR 05-01)https://lsac.org/data-research/research/applications-uniform-test-assembly-lsat-rr-05-01
Predictive Validity of the LSAT: A National Summary of the 2013 and 2014 LSAT Correlation Studies (TR 16-01)https://lsac.org/data-research/research/predictive-validity-lsat-national-summary-2013-and-2014-lsat-correlation
Summary of 2017, 2018, and 2019 LSAT Correlation Study Resultshttps://lsac.org/data-research/research/summary-2017-2018-and-2019-lsat-correlation-study-results
The Influence of the Psychometric Quality of a Test When Making Admission Decisions (PR 18-04)https://lsac.org/data-research/research/influence-psychometric-quality-test-when-making-admission-decisions-pr-18-04
Some Practical Issues in Computerized Adaptive Testing With Response Times (RR 14-06)https://lsac.org/data-research/research/some-practical-issues-computerized-adaptive-testing-response-times-rr-14-06
Stochastic Programming for Individualized Test Assembly With Mixture Response Time Models (RR 15-01)https://lsac.org/data-research/research/stochastic-programming-individualized-test-assembly-mixture-response-time
Review of Modern Methods for Automated Test Assembly and Item Pool Analysis (RR 16-01)https://lsac.org/data-research/research/review-modern-methods-automated-test-assembly-and-item-pool-analysis-rr-16
Predicting Future Academic Success: How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores (PR 19-01)https://lsac.org/data-research/research/predicting-future-academic-success-how-bayesian-approach-can-be-help