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

Statistical science in the courtroom

Explanatory Item Response Models : A Generalized Linear and Nonlinear Approach

The Basics of Item Response Theory Using R

Bayesian Item Response Modeling : Theory and Applications

Statistics for lawyers

Elements of adaptive testing

The basics of item response theory using R

Generalizability Theory

Optimization of Behavioral, Biobehavioral, and Biomedical Interventions : The Multiphase Optimization Strategy (MOST)

Missing data : analysis and design

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

Introduction to variance estimation

Multidimensional item response theory

A course on small area estimation and mixed models : methods, theory and applications in R

Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics

Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation

Optimization of Behavioral, Biobehavioral, and Biomedical Interventions : The Multiphase Optimization Strategy (MOST)

Bayesian networks in educational assessment

Test Equating, Scaling, and Linking : Methods and Practices

Configural frequency analysis : foundations, models, and applications

Configural frequency analysis : foundations, models, and applications

Practical Tools for Designing and Weighting Survey Samples

Seasonal adjustment methods and real time trend-cycle estimation

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

Applied multiple imputation : advantages, pitfalls, new developments and applications in R

Test Equating, Scaling, and Linking : Methods and Practices

Practical Tools for Designing and Weighting Survey Samples

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

Multidimensional Item Response Theory

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