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Generalizability Theory

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Bayesian Evaluation of Informative Hypotheses

Statistical Modeling of the National Assessment of Educational Progress

Bayesian Networks in Educational Assessment

Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach

Marginal Models : For Dependent, Clustered, and Longitudinal Categorical Data

Advances in Meta-Analysis

Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition

Prove It with Figures : Empirical Methods in Law and Litigation

Practical Considerations in Computer-Based Testing

Prove It with Figures : Empirical Methods in Law and Litigation

Linking and Aligning Scores and Scales

Statistical Modeling of the National Assessment of Educational Progress

Public Policy and Statistics : Case Studies from RAND

Statistical Science in the Courtroom

The Kernel Method of Test Equating

Missing Data : Analysis and Design

Statistical Confidentiality : Principles and Practice

Projection matrices, generalized inverse matrices, and singular value decomposition

Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation

A Course on Small Area Estimation and Mixed Models: Methods, Theory and Applications in R

Introduction to Variance Estimation

Multidimensional Item Response Theory

Statistics for Lawyers

Generalizability Theory

Optimization of Behavioral, Biobehavioral, and Biomedical Interventions : Advanced Topics

Applied Multiple Imputation: Advantages, Pitfalls, New Developments and Applications in R

Relative Distribution Methods in the Social Sciences

Missing Data : Analysis and Design

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