Quantitative Psychology The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023 /

This book includes presentations given at the 88th annual meeting of the Psychometric Society, held in Maryland, USA on July 24–28, 2023. The proceeding covers a diverse set of psychometric topics. The topics include, but are not limited to item response theory, cognitive diagnostic models, Bayesian...

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Bibliographische Detailangaben
Hauptverfasser:	Wiberg, Marie (VerfasserIn), Kim, Jee-Seon (VerfasserIn)
Körperschaft:	SpringerLink (Online service)
Weitere Verfasser:	Hwang, Heungsun (HerausgeberIn), Wu, Hao (HerausgeberIn), Sweet, Tracy (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Ausgabe:	1st ed. 2024.
Schriftenreihe:	Springer Proceedings in Mathematics & Statistics, 452
Schlagworte:	Statistics . Social sciences > Statistical methods. Sampling (Statistics). Statistics. Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. Survey Methodology.
Online-Zugang:	https://doi.org/10.1007/978-3-031-55548-0
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Inhaltsangabe:

Chapter 1. Repeated measurement analysis for non-linear data in small samples
Chapter 2. Examining the Measurement Invariance of the Chinese Short Grit Scale
Chapter 3. Data Preprocessing Techniques using Machine Learning Algorithms in Large-scale Assessment
Chapter 4. A two-stage approach to a latent variable mixed-effects location scale model
Chapter 5. Sparse Bayesian joint modal estimation for item factor analysis
Chapter 6. Investigating the impact of equating on measurement error using generalizability theory
Chapter 7. Method Effects of Item Wording: MIRT Estimation Based on Equivalence Method
Chapter 8. Item Response Theory Modeling with Response Times: Some Issue
Chapter 9. Validity evidence for the Teach ECE classroom observation tool
Chapter 10. Application of topic modeling techniques in meta-analysis studies
Chapter 11. Validation of the Household Food Security Survey Module (HFSSM) using Factor Analysis and Rasch Modeling
Chapter 12. Testing CDM local independence assumptions using nested model selection criteria
Chapter 13. The Impact of Generating Model on Pre-knowledge Detection in CAT
Chapter 14. Exploring Attenuation of Reliability in Categorical Subscore Reporting
Chapter 15. Diagnosing skills and misconceptions with Bayesian Networks applied to diagnostic multiple-choice tests
Chapter 16. Investigating variable selection techniques under missing data: a simulation study
Chapter 17. Optimal Implementation of Propensity-Score Matching Methods: A Monte Carlo Study on Estimating Binary Treatment Effects on Binary Outcomes
Chapter 18. Using machine/deep learning algorithms for the fixed effect prediction in non-linear Mixed Effects Models - the mixedML framework
Chapter 19. Psychometric evaluation of Positive and Negative Symptom Scale (PANSS): Harmonizing Classical Item Response Theory with the Perspective from Network Approach
Chapter 20. Fitting IRT Diffusion Model to complex cognition response times
Chapter 21. Empirical evaluations for DIF detection methods
Chapter 22. Fisher Information-Based Difficulty and Discrimination Measures in Binary IRT
Chapter 23. Empirical comparisons among models in detecting extreme response styles
Chapter 24. A Hierarchical Prior for Bayesian Variable Selection in Regression Model
Chapter 25. Comparing Different Correlation Test Methods
Chapter 26. Priors in Bayesian Estimation under the Graded Response Model
Chapter 27. Information matrix test misspecification assessment in cognitive diagnostic models
Chapter 28. Impact of Ignoring Rater Effects in Objective Structured Clinical Examinations
Chapter 29. The Gumbel-Reverse Gumbel (GRG) Model for Binary Data: A New Asymmetric Item Response Model
Chapter 30. Nonparametric estimation of the risk and odds ratio in rare events meta analysis with arm based and contrast based approaches
Chapter 31. Differential Step Functioning with Scale Purification for Polytomous Items
Chapter 32. Comparing maximum likelihood and MCMC estimation of the multivariate social relations model
Chapter 33. Using Mantel-Haenszel for Detecting Testlet Effects: Testing it All at Once
Chapter 34. Identifiability Conditions in Cognitive Diagnosis:Implications for Q-Matrix Estimation Algorithms
Chapter 35. Psychometric Perspectives on Modeling and Assessing Synergies
Chapter 36. Global validity of assessments: Location and currency
Chapter 37. Gaussian graphical model for evaluating local item dependency in response times
Chapter 38. Assessment Engineering Meets Generative AI: Unlocking New Opportunities for Digital Assessment
Chapter 39. Bayesian Mixture Multilevel Vector Autoregressive (B-MMVAR) Modeling
Chapter 40. Enhancing Learning and Assessment: Exploring the Potential of Performance Factor Analysis in attribute-oriented performance and difficulty parameters estimation
Chapter 41. DIF Detection in a Response Time Measure: An LRT Method
Chapter42. Nonparametric Estimation of CATE with Cluster-Robust Confidence Bands
Chapter 43. A Causal Mediation Framework for Investigating Treatment Effects in Longitudinal Studies
Chapter 44. Are we playing the same game: Translating fairness content
Chapter 45. Revisiting the 1PL-AG item response model: Bayesian estimation and application
Chapter 46. Maximum Likelihood Estimation using a Possibly Misspecified Parameter Redundant Model
Chapter 47. Comparing non-parametric estimations of treatment effect heterogeneity in the context of clustered data
Chapter 48. Extreme and Midpoint Response Styles: Two Sides of the Same Coin?- Chapter 49. A family of discrete kernels for presmoothing
Chapter 50. The deconstruction of measurement invariance (and DIF)
Chapter 51. Efficient additive Gaussian process models for large-scale balanced multi-level data
Chapter 52. An Investigation of Missing Data Analytical Methods in Longitudinal Research: Traditional and Machine Learning Approaches
Chapter 53. Test Analysis Method using Piecewise Linear ICCs
Chapter 54. Relationship among measurement invariance, differential item functioning andmean comparison
Chapter 55. Generative Distractor Modeling with Generative AI
Chapter 56. Q-matrix identification using text classification
Chapter 57. The Nonparametric Item Selection Method for Multiple-Choice Items in CD-CAT.

Quantitative Psychology The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023 /

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