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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
| 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 |
| Autore | Wiberg Marie |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (385 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
KimJee-Seon
HwangHeungsun WuHao SweetTracy |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Social sciences - Statistical methods Sampling (Statistics) Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Survey Methodology |
| ISBN | 9783031555480 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910866574403321 |
Wiberg Marie
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantitative Psychology : The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022 / / edited by Marie Wiberg, Dylan Molenaar, Jorge González, Jee-Seon Kim, Heungsun Hwang
| Quantitative Psychology : The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022 / / edited by Marie Wiberg, Dylan Molenaar, Jorge González, Jee-Seon Kim, Heungsun Hwang |
| Autore | Wiberg Marie |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (374 pages) |
| Disciplina | 150.15195 |
| Altri autori (Persone) |
MolenaarDylan
GonzálezJorge KimJee-Seon HwangHeungsun |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Psychometrics
Statistics Quantitative research Data Analysis and Big Data |
| ISBN |
9783031277818
3031277813 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910731478403321 |
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Wiberg Marie
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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