Quantitative Psychology : The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022 (Springer Proceedings in Mathematics & Statistics) (2023)

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Quantitative Psychology : The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022 (Springer Proceedings in Mathematics & Statistics) (2023)

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  • 製本 Hardcover:ハードカバー版/ページ数 381 p.
  • 商品コード 9783031277801

Full Description

The volume represents presentations given at the 87th annual meeting of the Psychometric Society, held in Bologna, Italy at July 11-15, 2022.  The proceedings cover a diverse set of psychometric topics, including item response theory, Bayesian models, reliability, latent variable models, causal inference, and cognitive diagnostic models.

Contents

1. Factors Affecting Efficiency of Interrater Reliability Estimates from Planned Missing Data Designs on a Fixed Budget.- 2. Concordance for Large-Scale Assessments.- 3. Comparing Parametric and Nonparametric Methods for Heterogeneous Treatment Effects.- 4. A Historical Perspective on Polytomous Unfolding Models.- 5. Kernel equating presmoothing methods: An empirical study with mixed-format test forms.- 6. Equating different test scores with landmark registration compared to equipercentile equating.- 7. Pauci sed boni: An Item Response Theory approach for shortening tests.- 8. Limited Utility of Small-Variance Priors to Detect Local Misspecification in Bayesian Structural Equation Models.- 9. Proper and Useful Distractors in Multiple-Choice Diagnostic Classification Models.- 10. Detecting latent variable non-normality through the generalized Hausman test.- 11. A Speed-Accuracy Response Model With Conditional Dependence Between Items.- 12. A modified method of balancing attribute coverage in CD-CAT.- 13. Resolving the test fairness paradox by reconciling predictive and measurement invariance.- 14. The Plausibility and Feasibility of Remedies for Evaluating Structural Fit.- 15. Clustering individuals based on multivariate EMA time-series data.- 16. On the relationship between coefficient alpha and closeness between factors and principal components for the multi-factor model.- 17. A Genetic Algorithm-based Framework for Learning Statistical Power Manifold.- 18. Using nonparametric mixture models to model effect heterogeneity in meta-analysis of very rare events.- 19. Investigating Differential Item Functioning via Odds Ratio in Cognitive Diagnosis Models.- 20. Effect of Within-Group Dependency on Fit Statistics in Mokken Scale Analysis in the Presence of Two-Level Test Data.- 21. Regularized Robust Confidence Interval Estimation in Cognitive Diagnostic Models.- 22. Continuation Ratio Model for polytomous responses with censored like latent classes.- 23. A three-step rectangular latent Markov modeling for advising students in self-learning platforms.- 24. Considerations in group differences in missing values.- 25. Fully Latent Principal Stratification: combining PS with model-based measurement models.- 26. Multilevel Reliabilities with Missing Data.- 27. New Flexible Item Response Models for dichotomous responses with applications.- 28. Estimating Individual Dynamic Factor Models Using a Regularized Hybrid Unified Structural Equation Modeling with Latent Variable.- 29. Optimizing Multistage Adaptive Testing Designs for Large-Scale Survey Assessments.- 30. Psychometric modeling of handwriting as a nonverbal assessment instrument and its properties.- 31. Analyzing SpatialResponses: A Comparison of IRT-based Approaches.- 32. Application of the network psychometric framework to measurement burst designs

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