Response Times in a Bayesian Marginal Modeling Framework (RR 18-02)https://lsac.org/data-research/research/response-times-bayesian-marginal-modeling-framework-rr-18-02
Detecting Groups of Test Takers Involved in Test Collusion as Unusually Large Cliques in a Graph (RR 18-01)https://lsac.org/data-research/research/detecting-groups-test-takers-involved-test-collusion-unusually-large-cliques
Application, Admission, and Matriculation Trends: Asian and Non-Asian Law School Candidates (SSR 18-01)https://lsac.org/data-research/research/application-admission-and-matriculation-trends-asian-and-non-asian-law
The Performance of Repeat Test Takers on the Law School Admission Test: 2010–2011 Through 2017–2018 Testing Years (TR 18-01)https://lsac.org/data-research/research/performance-repeat-test-takers-law-school-admission-test-2010-2011-through
Summary of Self-Reported Methods of Test Preparation by LSAT Takers for Testing Years 2014–2015 Through 2017–2018 (TR 18-03)https://lsac.org/data-research/research/summary-self-reported-methods-test-preparation-lsat-takers-testing-years-1
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
Evidence to Support Validity Claims for Using LSAT Scores in Law School Admissionhttps://lsac.org/data-research/research/evidence-support-validity-claims-using-lsat-scores-law-school-admission
2018 Applicant and Matriculant Study (RR 20-02)https://lsac.org/data-research/research/2018-applicant-and-matriculant-study-rr-20-02