Education
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Linear Models for Optimal Test Design -
Statistical Science in the Courtroom -
Bayesian Item Response Modeling: Theory and Applications -
Elements of Adaptive Testing -
Statistics for Lawyers -
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists -
Multivariate and Mixture Distribution Rasch Models: Extensions and Applications -
Bayesian Evaluation of Informative Hypotheses -
Multidimensional Item Response Theory -
The Kernel Method of Test Equating -
Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data -
Bayesian Evaluation of Informative Hypotheses -
Multivariate and Mixture Distribution Rasch Models: Extensions and Applications -
Practical Considerations in Computer-Based Testing -
Linking and Aligning Scores and Scales -
Generalizability Theory -
Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach -
Prove It with Figures: Empirical Methods in Law and Litigation -
Ordinal Data Modeling -
Public Policy and Statistics: Case Studies from RAND -
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists -
Linear Models for Optimal Test Design -
Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician -
Relative Distribution Methods in the Social Sciences