Quantitative Psychology

Table of Contents

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   Book Overview
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   Chapter 1 Explanatory Item Response Theory Models: Impact on Validity and Test Development?
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   Chapter 2 A Taxonomy of Item Response Models in Psychometrika
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   Chapter 3 NUTS for Mixture IRT Models
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   Chapter 4 Controlling Acquiescence Bias with Multidimensional IRT Modeling
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   Chapter 5 IRT Scales for Self-reported Test-Taking Motivation of Swedish Students in International Surveys
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   Chapter 6 A Modification of the IRT-Based Standard Setting Method
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   Chapter 7 Model Selection for Monotonic Polynomial Item Response Models
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   Chapter 8 TestGardener: A Program for Optimal Scoring and Graphical Analysis
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    Chapter 9 Item Selection Algorithms in Computerized Adaptive Test Comparison Using Items Modeled with Nonparametric Isotonic Model
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    Chapter 10 Utilizing Response Time in On-the-Fly Multistage Adaptive Testing
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    Chapter 11 Heuristic Assembly of a Classification Multistage Test with Testlets
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    Chapter 12 Statistical Considerations for Subscore Reporting in Multistage Testing
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    Chapter 13 Investigation of the Item Selection Methods in Variable-Length CD-CAT
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    Chapter 14 A Copula Model for Residual Dependency in DINA Model
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    Chapter 15 A Cross-Disciplinary Look at Non-cognitive Assessments
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    Chapter 16 An Attribute-Specific Item Discrimination Index in Cognitive Diagnosis
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    Chapter 17 Assessing the Dimensionality of the Latent Attribute Space in Cognitive Diagnosis Through Testing for Conditional Independence
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    Chapter 18 Comparison of Three Unidimensional Approaches to Represent a Two-Dimensional Latent Ability Space
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    Chapter 19 Comparison of Hyperpriors for Modeling the Intertrait Correlation in a Multidimensional IRT Model
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    Chapter 20 On Extended Guttman Condition in High Dimensional Factor Analysis
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    Chapter 21 Equivalence Testing for Factor Invariance Assessment with Categorical Indicators
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    Chapter 22 Canonical Correlation Analysis with Missing Values: A Structural Equation Modeling Approach
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    Chapter 23 Small-Variance Priors Can Prevent Detecting Important Misspecifications in Bayesian Confirmatory Factor Analysis
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    Chapter 24 Measuring the Heterogeneity of Treatment Effects with Multilevel Observational Data
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    Chapter 25 Specifying Multilevel Mixture Selection Models in Propensity Score Analysis
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    Chapter 26 The Effect of Using Principal Components to Create Plausible Values
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    Chapter 27 Adopting the Multi-process Approach to Detect Differential Item Functioning in Likert Scales
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    Chapter 28 Detection of Differential Item Functioning via the Credible Intervals and Odds Ratios Methods
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    Chapter 29 Psychometric Properties of the Highest and the Super Composite Scores
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    Chapter 30 A New Equating Method Through Latent Variables
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    Chapter 31 Comparison of Two Item Preknowledge Detection Approaches Using Response Time
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    Chapter 32 Identifying and Comparing Writing Process Patterns Using Keystroke Logs
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    Chapter 33 Modeling Examinee Heterogeneity in Discrete Option Multiple Choice Items
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    Chapter 34 Simulation Study of Scoring Methods for Various Multiple-Multiple-Choice Items
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    Chapter 35 Additive Trees for Fitting Three-Way (Multiple Source) Proximity Data
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    Chapter 36 A Comparison of Ideal-Point and Dominance Response Processes with a Trust in Science Thurstone Scale
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    Chapter 37 Rumor Scale Development
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    Chapter 38 An Application of a Topic Model to Two Educational Assessments