Handbook of item response theory

著者

• Linden, Wim J. van der

書誌事項

Handbook of item response theory

edited by Wim J. van der Linden

（Statistics in the social and behavioral sciences series）

CRC Press, c2016-

• v. 1
• v. 1 : pbk.
• v. 2
• v. 3

注記

Includes bibliographical references and indexes

Vol. 1. Models -- v. 2. Statistical tools -- v. 3. Applications

内容説明・目次

巻冊次

v. 1 : pbk. ISBN 9780367220013

内容説明

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all major item response models. This first volume in a three-volume set covers many model developments that have occurred in item response theory (IRT) during the last 20 years. It describes models for different response formats or response processes, the need of deeper parameterization due to a multilevel or hierarchical structure of the response data, and other extensions and insights. In Volume One, all chapters have a common format with each chapter focusing on one family of models or modeling approach. An introductory section in every chapter includes some history of the model and a motivation of its relevance. Subsequent sections present the model more formally, treat the estimation of its parameters, show how to evaluate its fit to empirical data, illustrate the use of the model through an empirical example, and discuss further applications and remaining research issues.

目次

Dichotomous Models. Nominal and Ordinal Models. Multidimensional and Multicomponent Models. Models for Response Times. Nonparametric Models. Models for Nonmonotone Items. Hierarchical Response Models. Generalized Modeling Approaches.

巻冊次

v. 1 ISBN 9781466514317

内容説明

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all major item response models. This first volume in a three-volume set covers many model developments that have occurred in item response theory (IRT) during the last 20 years. It describes models for different response formats or response processes, the need of deeper parameterization due to a multilevel or hierarchical structure of the response data, and other extensions and insights. In Volume One, all chapters have a common format with each chapter focusing on one family of models or modeling approach. An introductory section in every chapter includes some history of the model and a motivation of its relevance. Subsequent sections present the model more formally, treat the estimation of its parameters, show how to evaluate its fit to empirical data, illustrate the use of the model through an empirical example, and discuss further applications and remaining research issues.

目次

Dichotomous Models. Nominal and Ordinal Models. Multidimensional and Multicomponent Models. Models for Response Times. Nonparametric Models. Models for Nonmonotone Items. Hierarchical Response Models. Generalized Modeling Approaches.

巻冊次

v. 2 ISBN 9781466514324

内容説明

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.

目次

Basic Tools. Modeling Issues. Parameter Estimation. Model Fit and Comparison.

巻冊次

v. 3 ISBN 9781466514331

内容説明

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume 3: Applications presents applications of item response theory to practical testing problems. While item response theory may be known primarily for its advances in theoretical modeling of responses to test items, equal progress has been made in its providing innovative solutions to daily testing problems. This third volume in a three-volume set highlights the major applications. Specifically, this volume covers applications to test item calibration, item analysis, model fit checking, test-score interpretation, optimal test design, adaptive testing, standard setting, and forensic analyses of response data. It describes advances in testing in areas such as large-scale educational assessment, psychological testing, health measurement, and measurement of change. In addition, it extensively reviews computer programs available to run any of the models and applications in Volume One and Three. Features Includes contributions from internationally acclaimed experts with a history of advancing applications of item response theory Provides extensive cross-referencing and common notation across all chapters in this three-volume set Underscores the importance of treating each application in a statistically rigorous way Reviews major computer programs for item response theory analyses and applications. Wim J. van der Linden is a distinguished scientist and director of research and innovation at Pacific Metrics Corporation. Dr. van der Linden is also a professor emeritus of measurement and data analysis at the University of Twente. His research interests include test theory, adaptive testing, optimal test assembly, parameter linking, test equating, and response-time modeling as well as decision theory and its applications to problems of educational decision making.

目次

Section I Item Calibration and Analysis 1. Item-Calibration Designs 2. Parameter Linking 3. Dimensionality Analysis 4. Differential Item Functioning 5. Calibrating Technology-Enhanced Items Section II Person Fit and Scoring 6. Person Fit 7. Score Reporting and Interpretation 8. IRT Observed-Score Equating Section III Test Design 9. Optimal Test Design 10. Adaptive Testing 11. Standard Setting 12. Test Speededness and Time Limits 13. Item and Test Security Section IV Areas of Application 14. Large-Scale Group-Score Assessments 15. Psychological Testing 16. Cognitive Diagnostic Assessment 17. Health Measurement 18. Marketing Research 19. Measuring Change Using Rasch Models Section V Computer Programs 20. IRT Packages in R 21. Bayesian Inference Using Gibbs Sampling (BUGS) for IRT Models 22. BILOG-MG 23. PARSCALE 24. IRTPRO 25. Xcalibre 4 26. EQSIRT 27. ACER ConQuest 28. Mplus 29. gllamm 30. Latent GOLD 31. WinGen 32. Firestar 33. jMetrik

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詳細情報

• NII書誌ID(NCID): BB21295628
• ISBN:
  • 9781466514317
  • 9780367220013
  • 9781466514324
  • 9781466514331
• LCCN: 2015034163
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boca Raton, FL
• ページ数/冊数: v.
• 大きさ: 26 cm
• 分類:
  • LCC : BF39.2.I84
  • DC23 : 150.28/7
• 件名:
  • LCSH : Item response theory
  • LCSH : Psychometrics
  • LCSH : Psychology -- Mathematical models
• 親書誌ID:
  • BA7780554X