Bayesian Psychometric Modeling, Levy Roy, Mislevy Robert J.
Автор: Levy Roy, Mislevy Robert J. Название: Bayesian Psychometric Modeling ISBN: 1439884676 ISBN-13(EAN): 9781439884676 Издательство: Taylor&Francis Рейтинг: Цена: 14086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment
Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics.
Adopting a Bayesian approach can aid in unifying seemingly disparate-and sometimes conflicting-ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking.
The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.
Описание: It represents selected and peer-reviewed presentations given at the 85th Annual International Meeting of the Psychometric Society (IMPS), held virtually on July 13-17, 2020.The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences.
Название: Introduction to psychometric theory ISBN: 0415878225 ISBN-13(EAN): 9780415878227 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to educational and psychological testing and measurement theory that reflects the various intellectual developments. This book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation. It also offers tips on how to use test theory in the actual testing situations.
Автор: Marie Wiberg; Steven Culpepper; Rianne Janssen; Jo Название: Quantitative Psychology ISBN: 3319772481 ISBN-13(EAN): 9783319772486 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Optimal Scores as an Alternative to Sum Scores (Marie Wiberg).- Chapter 2. Disentangling Treatment and Placebo Effects in Randomized Experiments Using Principal Stratification: An Introduction (Reagan Mozer).- Chapter 3. Some Measures of the Amount of Adaptation for Computerized Adaptive Tests (Mark Reckase).- Chapter 4. Investigating the Constrained-weighted Item Selection Methods for CD-CAT (Ya-Hui Su).- Chapter 5. Modeling Accidental Mistakes in Multistage Testing: A Simulation Study (Thales Ricarte).- Chapter 6. On the Usefulness of Inter-Rater Reliability Coefficients (Debby ten Hove). Chapter 7. An Evaluation of Rater Agreement Indices Using Generalizability Theory (Dongmei Li).
Описание: . High Performance Psychometrics - New Results on an Improved Algorithm Estimating Generalized Latent Variable Models.- 2. Properties of second-order exponential models as multidimensional item response models.- 3. Pseudo-likelihood Estimation of Multidimensional Response Models: Polytomous and Dichotomous Items.- 4. Fitting Graded Response Models to Data with Nonnormal Latent Traits.- 5. An Extention of Rudner-based Consistency and Accuracy Indices for Multidimensional Item Response Theory.- 6. Supporting diagnostic inferences using significance tests for subtest scores.- 7. A comparison of two MCMC algorithms for the 2PL IRT model.- 8. Similar DIFs: Differential Item Functioning and Factorial Invariance for Scales with Seven ("Plus or Minus Two") Response Alternatives.- 9. Finally! A Valid Test of Configural Invariance Using Permutation in Multiple-Group CFA.- 10. Outcries of Dual Scaling: The Key is Duality.- 11. The Most Predictable Criterion with Fallible Data.- 12. Asymmetric Multidimensional Scaling of Cognitive Similarities Among Occupational Categories.- 13. On the Relationship Between Squared Canonical Correlation and Matrix Norm.- 14. Breaking through the sum score barrier.- 15. Overestimation of Reliability by Guttman's Lambda 4, Lambda 5, and Lambda 6, and the Greatest Lower Bound.- 16. The Performance of Five Reliability Estimates at Multidimensional Test Situations.- 17. Weighted Guttman errors: Handling ties and two-level data.- 18. Measuring Cognitive Processing Capabilities in Solving Mathematical Problems.- 19. Parameter Constraints of the Reduced RUM as a Logit Model.- 20. Hypothesis Testing for Item Consistency Index in Cognitive Diagnosis Assessment.- 21. The irreplaceability of a reachability matrix.- 22. Ensuring test quality over time by monitoring the equating transformations.- 23. An illustration of the Epanechnikov and Adaptive continuization methods in Kernel equating.- 24. (The Potential for) Accumulated Linking Error in Trend Measurement in Large-Scale Educational Assessments.- 25. IRT observed-score equating with the non-equivalent groups with covariates design.- 26. Causal Inference with Observational Multilevel Data: Investigating Selection and Outcome Heterogeneity.- 27. Non-Equivalent Groups With Covariates Design Using Propensity Scores for Kernel Equating.- 28. A mixture partial credit model analysis using a language-based covariate.- 29. Investigating Constraint-weighted Item Selection Procedures in Unfolding CAT.- 30. Rating Scale Format and Item Sensitivity to Response Style in Large-Scale Assessment.- 31. Mode Comparability Studies for a High-Stakes Testing Program.- 32. Power analysis for t-test with non-normal data and unequal variances.- 33. Statistical Power for One-Way ANOVA with Binary or Count Data.- 34. Bayesian robust estimation in causal two-stage-least-squares modeling with instrumental variables.- 35. Measuring grit among first-generation college students: A psychometric analysis.- 36. A Comparison of Item Parameter and Standard Error Recovery Across Different R Packages for Popular Unidimensional IRT Models
Автор: Haruo Yanai; Akinori Okada; Kazuo Shigemasu; Yutak Название: New Developments in Psychometrics ISBN: 4431669981 ISBN-13(EAN): 9784431669982 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: At the International Meeting of the Psychometric Society in Osaka, Japan, more than 300 participants from 19 countries gathered to discuss recent developments in the theory and application of psychometrics.
Название: Assessment of Mental Health, Religion and Culture ISBN: 0367590247 ISBN-13(EAN): 9780367590246 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a selection of contemporary research on the development and examination of psychometric measures for the assessment of mental health, religion and culture. This book was originally published as two special issues of Mental Health, Religion & Culture.
Автор: Hong Jiao, Robert W. Lissitz Название: Innovative Psychometric Modeling and Methods ISBN: 1648022227 ISBN-13(EAN): 9781648022227 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 13167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The general theme of this book is to present innovative psychometric modeling and methods. In particular, this book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments. In addition, innovative psychometric modeling approaches, such as graphical models, item tree models, network analysis, and cognitive diagnostic models, are included. Chapters 1, 2, 4 and 6 are about psychometric models and methods for learning analytics. The first two chapters focus on advanced cognitive diagnostic models for tracking learning and the improvement of attribute classification accuracy. Chapter 4 demonstrates the use of network analysis for learning analytics. Chapter 6 introduces the conjunctive root causes model for the understanding of prerequisite skills in learning. Chapters 3, 5, 8, 9 are about innovative psychometric techniques to model process data. Specifically, Chapters 3 and 5 illustrate the usage of generalized linear mixed effect models and item tree models to analyze eye-tracking data. Chapter 8 discusses the modeling approach of hint uses and response accuracy in learning environment. Chapter 9 demonstrates the identification of observable outcomes in the game-based assessments. Chapters 7 and 10 introduce innovative latent variable modeling approaches, including the graphical and generalized linear model approach and the dynamic modeling approach. In summary, the book includes theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to model and analyze multiple data sources from digital assessments. When computer-based assessments are emerging and evolving, it is important that researchers can expand and improve the methods for modeling and analyzing new data sources. This book provides a useful resource to researchers who are interested in the development of psychometric methods to solve issues in this digital assessment age.
Автор: Hong Jiao, Robert W. Lissitz Название: Innovative Psychometric Modeling and Methods ISBN: 1648022235 ISBN-13(EAN): 9781648022234 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The general theme of this book is to present innovative psychometric modelling and methods. In particular, the book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments.
Автор: Marie Wiberg; Steven Culpepper; Rianne Janssen; Jo Название: Quantitative Psychology ISBN: 303001309X ISBN-13(EAN): 9783030013097 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This proceedings volume highlights the latest research and developments in psychometrics and statistics. This book compiles and expands on selected and peer reviewed presentations given at the 83rd Annual International Meeting of the Psychometric Society (IMPS), organized by Columbia University and held in New York, USA July 9th to 13th, 2018.The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. The last couple of years it has attracted more than 500 participants and more than 250 paper presentations from researchers around the world.Leading experts in the world and promising young researchers have written the 38 chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 7th in a series of recent volumes to cover research presented at the IMPS.
Автор: Roger E. Millsap; L. Andries van der Ark; Daniel M Название: New Developments in Quantitative Psychology ISBN: 1493947397 ISBN-13(EAN): 9781493947393 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 77th Annual International Meeting of the Psychometric Society (IMPS) brought together quantitative researchers who focus on methods relevant to psychology.
Автор: L. Andries van der Ark; Marie Wiberg; Steven A. Cu Название: Quantitative Psychology ISBN: 3319562932 ISBN-13(EAN): 9783319562933 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This proceedings volume compiles and expands on selected and peer reviewed presentations given at the 81st Annual Meeting of the Psychometric Society (IMPS), organized by the University of North Carolina at Greensboro, and held in Asheville, North Carolina, July 11th to 17th, 2016. IMPS is one of the largest international meetings focusing on quantitative measurement in psychology, education, and the social sciences, both in terms of participants and number of presentations. The meeting built on the Psychometric Society's mission to share quantitative methods relevant to psychology, addressing a diverse set of psychometric topics including item response theory, factor analysis, structural equation modeling, time series analysis, mediation analysis, cognitive diagnostic models, and multi-level models. Selected presenters were invited to revise and expand their contributions and to have them peer reviewed and published in this proceedings volume. Previous volumes to showcase work from the Psychometric Society's meetings are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013), Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015), Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 (Springer, 2015), and Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015 (Springer, 2016).
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