| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 正題名/作者: |
Quantitative psychology/ by Marie Wiberg, Jee-Seon Kim ; edited by Heungsun Hwang, Hao Wu, Tracy Sweet. |
| 其他題名: |
the 88th Annual Meeting of the Psychometric Society, Maryland, USA, 2023 / |
| 其他作者: |
Wiberg, Marie. |
| 團體作者: |
Psychometric Society. |
| 出版者: |
Cham :Springer Nature Switzerland : : 2024., |
| 面頁冊數: |
ix, 395 p. :ill., digital ;24 cm. |
| 內容註: |
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. |
| Contained By: |
Springer Nature eBook |
| 標題: |
Psychometrics - Congresses. - |
| 電子資源: |
https://doi.org/10.1007/978-3-031-55548-0 |
| ISBN: |
9783031555480 |