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
Understanding and Interpreting Law School Enrollment Data: A Focus on Race and Ethnicity (RR 20-03)https://lsac.org/data-research/research/understanding-and-interpreting-law-school-enrollment-data-focus-race-and
Changes in Undergraduate Grade Point Averages Across Years of School (RR 20-01)https://lsac.org/data-research/research/changes-undergraduate-grade-point-averages-across-years-school-rr-20-01
LSAC 2018 Skills Analysis Study: Content Validity of the LSAT (RR 19-01)https://lsac.org/data-research/research/lsac-2018-skills-analysis-study-content-validity-lsat
Summary of 2017, 2018, and 2019 LSAT Correlation Study Resultshttps://lsac.org/data-research/research/summary-2017-2018-and-2019-lsat-correlation-study-results
