Intro; Preface; Contents; 1 Optimal Scores as an Alternative to Sum Scores; Abstract; 1 Introduction; 2 A College Admission Test and Its Empirical Test Distribution; 3 Three Test Scores; 4 Estimating Nonparametric ICC's; 5 Optimal Scores in Comparison with Sum Scores and Expected Sum Scores; 5.1 Simulation Study; 5.2 Results of the Simulation Study; 6 Discussion; Acknowledgements; References; Disentangling Treatment and Placebo Effects in Randomized Experiments Using Principal Stratification-An Introduction; 1 Introduction; 2 Motivation

3 The Principal Stratification Framework for Joint Estimation of Treatment and Placebo Effects3.1 Notation; 3.2 General Modeling Strategy; 3.3 Assumptions; 4 Model and Computation; 4.1 The General Model with No Covariates; 4.2 Computation; 4.3 Incorporating Covariates; 5 Evaluating Treatment and Placebo Effects of Lybrido on Sexual Function; 5.1 Model Specification; 5.2 Results; 6 Discussion; References; 3 Some Measures of the Amount of Adaptation for Computerized Adaptive Tests; Abstract; 1 Introduction; 2 Types of CATs that are the Focus of this Research; 3 A Simple Conceptual Framework

4 Simulation Studies of the Three Indices4.1 Variation in Item Pool Size; 4.2 Variation in Item Pool Spread; 4.3 Influence of Exposure Control; 4.4 Summary of the Simulation Study Results; 5 Operational Data Analysis; 6 Discussion; References; 4 Investigating the Constrained-Weighted Item Selection Methods for CD-CAT; Abstract; 1 Introduction; 1.1 The Cognitive Diagnostic Discrimination Index (CDI) and Attribute-Level Discrimination Index (ADI); 1.2 The Posterior-Weighted CDI (PWCDI) and Posterior-Weighted ADI (PWADI) Methods; 1.3 The Maximum Priority Index (MPI); 2 Method

2.1 Simulation Design2.2 Evaluation Criteria; 3 Results; 4 Discussions; References; Modeling Accidental Mistakes in Multistage Testing: A Simulation Study; 1 Introduction; 2 Methods; 2.1 Estimation; 2.2 Model Specifications; 2.3 Dependent Variables; 3 Results; 4 Discussion and Conclusion; References; 6 On the Usefulness of Interrater Reliability Coefficients; Abstract; 1 Introduction; 2 Methods; 2.1 Data; 2.2 IRR Coefficients; 2.3 Analyses; 3 Results; 4 Discussion; References; 7 An Evaluation of Rater Agreement Indices Using Generalizability Theory; Abstract; 1 Introduction; 2 Methods

2.1 Rater Agreement Indices2.2 G Theory; 2.3 Data Generation and Evaluation Criteria; 3 Results; 3.1 Research Question 1: How Do the Rater Agreement Indices Compare to the Coefficients from G Theory Analyses? How Do the Indices Compare to One Another?; 3.2 Research Question 2: How Does the Number of Rating Categories Affect the Various Rater Agreement Indices and the G Theory Coefficients?; 3.3 Research Question 3: What Is the Impact of the Distribution of the Underlying Scores on the Performance of These Rater Agreement Indices?