图书简介
This proceedings volume highlights the latest research and developments in psychometrics and statistics. This book compiles and expands on selected and peer reviewed presentations given at the 83rd Annual International Meeting of the Psychometric Society (IMPS), organized by Columbia University and held in New York, USA July 9th to 13th, 2018.The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. The last couple of years it has attracted more than 500 participants and more than 250 paper presentations from researchers around the world.Leading experts in the world and promising young researchers have written the 38 chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 7th in a series of recent volumes to cover research presented at the IMPS.
Explanatory Item Response Theory Models: Impact on Validity and Test Development?.-A Taxonomy of Item Response Models in Psychometrika.-NUTS for Mixture IRT Models.Controlling acquiescence bias with multidimensional IRT modeling.-IRT scales for Self-reported Test-taking Motivation of Swedish students in International Surveys.-A Modification of the IRT-Based Standard Setting Method.-Model selection for monotonic polynomial item response models.-TestGardener: a program for optimal scoring and graphical analysis.-Item Selection Algorithms in Computerized Adaptive Test Comparison Using Items Modeled with Nonparametric Isotonic Model.-Utilizing Response Time in On-the-Fly Multistage Adaptive Testing.-Heuristic Assembly of a Classification Multistage Test with Testlets.-Statistical Considerations for Subscore Reporting in Multistage Testing.-Investigation of the Item Selection Methods in Variable-length CD-CAT.-A Copula Model for Residual Dependency in DINA Model.-A Cross-Disciplinary Look at Non-Cognitive Assessments .-An Attribute-Specific Item Discrimination Index in Cognitive Diagnosis.-Assessing the Dimensionality of the Latent Attribute Space in Cognitive Diagnosis through Testing for Conditional Independence.-Comparison of Three Unidimensional Approaches to Represent a Two-Dimensional Latent Ability Space.-Comparison of Hyperpriors for Modeling the Intertrait Correlation in a Multidimensional IRT Model.-On Extended Guttman Condition in High Dimensional Factor Analysis.-Equivalence Testing for Factor Invariance Assessment with Categorical Indicators.-Canonical Correlation Analysis with Missing Values: A Structural Equation Modeling approach.-Small-variance priors can prevent detecting important misspecifications in Bayesian confirmatory factor analysis.-Measuring the Heterogeneity of Treatment Effects with Multilevel Observational Data.-Specifying Multilevel Mixture Selection Models in Propensity Score Analysis.-The effect of using principal components to create plausible values.-Adopting the Multi-Process Approach to Detect Differential Item Functioning in Likert Scales.-Detection of Differential Item Functioning via the Credible Intervals and Odds Ratios Methods.-Psychometric Properties of the Highest and the Super Composite Scores.-A New Equating Method Through Latent Variables.-Comparison of two item preknowledge detection approaches using response time.-Identifying and comparing writing process patterns using keystroke logs.-Modeling Examinee Heterogeneity in Discrete Option Multiple Choice Items.-Simulation Study of Scoring Methods for Various Multiple-multiple-choice Items.-Additive Trees for Fitting Three-Way (Multiple Source) Proximity Data.-A Comparison of Ideal-point and Dominance Response Processes with a Trust in Science Thurstone Scale.-Rumor Scale Development.-An application of a topic model to two educational assessments.
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