Education
-
Test Equating, Scaling, and Linking: Methods and Practices -
Missing Data: Analysis and Design -
Advances in Meta-Analysis -
Practical Tools for Designing and Weighting Survey Samples -
The Kernel Method of Test Equating -
Ordinal Data Modeling -
Relative Distribution Methods in the Social Sciences -
Missing Data: Analysis and Design -
Living Standards Analytics: Development through the Lens of Household Survey Data -
Statistical Confidentiality: Principles and Practice -
Statistical Modeling of the National Assessment of Educational Progress -
Statistical Models for Test Equating, Scaling, and Linking -
Bayesian Item Response Modeling: Theory and Applications -
Elements of Adaptive Testing -
Advances in Meta-Analysis -
Multidimensional Item Response Theory -
Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician -
Living Standards Analytics: Development through the Lens of Household Survey Data -
Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach -
Statistical Modeling of the National Assessment of Educational Progress -
Statistical Confidentiality: Principles and Practice -
Statistical Models for Test Equating, Scaling, and Linking -
Linking and Aligning Scores and Scales -
Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data