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
Modeling Multilevel Dependence Structures for Responses and Process Data in a Bayesian Framework (PR 19-03)https://lsac.org/data-research/research/modeling-multilevel-dependence-structures-responses-and-process-data
The Bayesian Covariance Structure Model for Testlets (PR 19-02)https://lsac.org/data-research/research/bayesian-covariance-structure-model-testlets-pr-19-02
The Need for Intentionality: Insights from Research and the LSAC Prelaw Undergraduate Scholars (PLUS) Programhttps://lsac.org/data-research/research/need-intentionality-insights-research-and-lsac-prelaw-undergraduate-scholars
LSAT Takers and Khan Academy Preparationhttps://lsac.org/data-research/research/lsat-takers-and-khan-academy-preparation
The LSAT Is Still the Most Accurate Predictor of Law School Successhttps://lsac.org/data-research/research/lsat-still-most-accurate-predictor-law-school-success
The Impact of GPA-First Admission Policieshttps://lsac.org/data-research/research/impact-gpa-first-admission-policies
Justice-Impacted Individuals in the Pipeline: A National Exploration of Law School Policies and Practiceshttps://lsac.org/data-research/research/justice-impacted-individuals-pipeline-national-exploration-law-school