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
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 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
Predictive Validity of Accommodated LSAT Scores for the 2007–2011 Entering Law School Classes (TR 17-04)https://lsac.org/data-research/research/predictive-validity-accommodated-lsat-scores-2007-2011-entering-law-school
Accommodated Test-Taker Trends and Performance for the June 2012 Through February 2017 LSAT Administrations (TR 17-03)https://lsac.org/data-research/research/accommodated-test-taker-trends-and-performance-june-2012-through-february
A New Approach to Detecting Cluster Aberrancy (RR 16-05)https://lsac.org/data-research/research/new-approach-detecting-cluster-aberrancy-rr-16-05
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
Bayesian Marginal Joint Models for Responses and Process Data (PR 18-03)https://lsac.org/data-research/research/bayesian-marginal-joint-models-responses-and-process-data-pr-18-03