Quantitative Psychology : The 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023 / by Marie Wiberg, Jee-Seon Kim ; edited by Heungsun Hwang, Hao Wu, Tracy Sweet.

Format:

Book

Author/Creator:

Wiberg, Marie.

Contributor:

Kim, Jee-Seon.

Hwang, Heungsun.

Wu, Hao.

Sweet, Tracy.

Series:

Springer Proceedings in Mathematics & Statistics, 2194-1017 ; 452

Language:

English

Subjects (All):

Statistics.

Social sciences--Statistical methods.

Social sciences.

Sampling (Statistics).

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Survey Methodology.

Local Subjects:

Statistics.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.

Survey Methodology.

Physical Description:

1 online resource (385 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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 estimation, validity and reliability issues, and several applications within different fields. The authors are from all over the world, they work in different psychometrics areas, as well as having diverse professional and academic experiences.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031555480

OCLC:

1442939795