Handbook of Item Response Theory, Volume Three: Applications

Handbook of Item Response Theory, Volume Three: Applications

by Wim J. van der Linden (Editor)

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Overview

Handbook of Item Response Theory, Volume Three: Applications by Wim J. van der Linden

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.

Product Details

ISBN-13: 9781466514331
Publisher: Taylor & Francis
Publication date: 01/16/2018
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series
Pages: 608
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

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.

Table of Contents

Section I Item Calibration and Analysis

1. Item-Calibration Designs

[Martijn P. F. Berger]

2. Parameter Linking

[Wim J. van der Linden and Michelle D. Barrett]

3. Dimensionality Analysis

[Robert D. Gibbons and Li Cai]

4. Differential Item Functioning

[Dani Gamerman, Flávio B. Gonçalves, and Tufi M. Soares]

5. Calibrating Technology-Enhanced Items

[Richard M. Luecht]

Section II Person Fit and Scoring

6. Person Fit

[Cees A. W. Glas and Naveed Khalid]

7. Score Reporting and Interpretation

[Ronald K. Hambleton and April L. Zenisky]

8. IRT Observed-Score Equating

[Wim J. van der Linden]

Section III Test Design

9. Optimal Test Design

[Wim J. van der Linden]

10. Adaptive Testing

[Wim J. van der Linden]

11. Standard Setting

Daniel Lewis and Jennifer Lord-Bessen

12. Test Speededness and Time Limits

[Wim J. van der Linden]

13. Item and Test Security

[Wim J. van der Linden]

Section IV Areas of Application

14. Large-Scale Group-Score Assessments

[John Mazzeo]

15. Psychological Testing

[Paul De Boeck]

16. Cognitive Diagnostic Assessment

[Chun Wang and Hua-Hua Chang]

17. Health Measurement

[Richard C. Gershon, Ron D. Hays, and Michael A. Kallen]

18. Marketing Research

[Martijn G. de Jong and Ulf Böckenholt]

19. Measuring Change Using Rasch Models

[Gerhard H. Fischer]

Section V Computer Programs

20. IRT Packages in R

[Thomas Rusch, Patrick Mair, and Reinhold Hatzinger]

21. Bayesian Inference Using Gibbs Sampling (BUGS) for IRT Models

[Matthew S. Johnson]

22. BILOG-MG

[Michele F. Zimowski]

23. PARSCALE

[Eiji Muraki]

24. IRTPRO

[Li Cai]

25. Xcalibre 4

[Nathan A. Thompson and Jieun Lee]

26. EQSIRT

[Peter M. Bentler, Eric Wu, and Patrick Mair]

27. ACER ConQuest

[Raymond J. Adams, Margaret L. Wu, and Mark R. Wilson]

28. Mplus

[Bengt Muthén and Linda Muthén]

29. gllamm

[Sophia Rabe-Hesketh and Anders Skrondal]

30. Latent GOLD

[Jeroen K. Vermunt]

31. WinGen

[Kyung (Chris) T. Han]

32. Firestar

[Seung W. Choi]

33. jMetrik

[J. Patrick Meyer]

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