Quantitative Psychology

Table of Contents

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   Book Overview
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   Chapter 1 Optimal Scores as an Alternative to Sum Scores
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   Chapter 2 Disentangling Treatment and Placebo Effects in Randomized Experiments Using Principal Stratification—An Introduction
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   Chapter 3 Some Measures of the Amount of Adaptation for Computerized Adaptive Tests
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   Chapter 4 Investigating the Constrained-Weighted Item Selection Methods for CD-CAT
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   Chapter 5 Modeling Accidental Mistakes in Multistage Testing: A Simulation Study
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   Chapter 6 On the Usefulness of Interrater Reliability Coefficients
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   Chapter 7 An Evaluation of Rater Agreement Indices Using Generalizability Theory
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   Chapter 8 How to Select the Bandwidth in Kernel Equating—An Evaluation of Five Different Methods
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    Chapter 9 Evaluating Equating Transformations from Different Frameworks
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    Chapter 10 An Alternative View on the NEAT Design in Test Equating
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    Chapter 11 Simultaneous Equating of Multiple Forms
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    Chapter 12 Incorporating Information Functions in IRT Scaling
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    Chapter 13 Reducing Conditional Error Variance Differences in IRT Scaling
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    Chapter 14 An IRT Analysis of the Growth Mindset Scale
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    Chapter 15 Considering Local Dependencies: Person Parameter Estimation for IRT Models of Forced-Choice Data
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    Chapter 16 Elimination Scoring Versus Correction for Guessing: A Simulation Study
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    Chapter 17 Three-Way Generalized Structured Component Analysis
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    Chapter 18 Combining Factors from Different Factor Analyses Based on Factor Congruence
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    Chapter 19 On the Bias in Eigenvalues of Sample Covariance Matrix
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    Chapter 20 Using Product Indicators in Restricted Factor Analysis Models to Detect Nonuniform Measurement Bias
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    Chapter 21 Polychoric Correlations for Ordered Categories Using the EM Algorithm
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    Chapter 22 A Structural Equation Modeling Approach to Canonical Correlation Analysis
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    Chapter 23 Dealing with Person Differential Item Functioning in Social-Emotional Skill Assessment Using Anchoring Vignettes
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    Chapter 24 Random Permutation Tests of Nonuniform Differential Item Functioning in Multigroup Item Factor Analysis
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    Chapter 25 Using Credible Intervals to Detect Differential Item Functioning in IRT Models
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    Chapter 26 Bayesian Network for Modeling Uncertainty in Attribute Hierarchy
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    Chapter 27 A Cognitive Diagnosis Method Based on Mahalanobis Distance
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    Chapter 28 An Joint Maximum Likelihood Estimation Approach to Cognitive Diagnosis Models
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    Chapter 29 An Exploratory Discrete Factor Loading Method for Q-Matrix Specification in Cognitive Diagnostic Models
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    Chapter 30 Identifiability of the Latent Attribute Space and Conditions of Q-Matrix Completeness for Attribute Hierarchy Models
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    Chapter 31 Different Expressions of a Knowledge State and Their Applications
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    Chapter 32 Accuracy and Reliability of Autoregressive Parameter Estimates: A Comparison Between Person-Specific and Multilevel Modeling Approaches
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    Chapter 33 A Two-Factor State Theory
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    Chapter 34 SPARK: A New Clustering Algorithm for Obtaining Sparse and Interpretable Centroids