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Handbook of Item Response Theory
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Handbook of Item Response Theory

DOI link for Handbook of Item Response Theory

Handbook of Item Response Theory book

Volume 3: Applications

Handbook of Item Response Theory

DOI link for Handbook of Item Response Theory

Handbook of Item Response Theory book

Volume 3: Applications
Edited ByWim J. van der Linden
Edition 1st Edition
First Published 2017
eBook Published 15 December 2017
Pub. location New York
Imprint Chapman and Hall/CRC
DOI https://doi.org/10.1201/9781315117430
Pages 608 pages
eBook ISBN 9781315117430
SubjectsBehavioral Sciences
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van der Linden, W. (Ed.). (2018). Handbook of Item Response Theory. New York: Chapman and Hall/CRC, https://doi.org/10.1201/9781315117430

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.

TABLE OF CONTENTS

section I|104 pages

Item Calibration and Analysis

chapter 1|18 pages

Item-Calibration Designs

WithMartijn P. F. Berger

chapter 2|26 pages

Parameter Linking

ByWim J. van der Linden, Michelle D. Barrett

chapter 3|20 pages

Dimensionality Analysis

WithRobert D. Gibbons, Li Cai

chapter 4|20 pages

Differential Item Functioning

WithDani Gamerman, Flávio B. Gonçalves, Tufi M. Soares

chapter 5|18 pages

Calibrating Technology-Enhanced Items

WithRichard M. Luecht

section II|60 pages

Person Fit and Scoring

chapter 6|20 pages

Person Fit

WithCees A. W. Glas, Naveed Khalid

chapter 7|16 pages

Score Reporting and Interpretation

WithRonald K. Hambleton, April L. Zenisky

chapter 8|22 pages

IRT Observed-Score Equating

ByWim J. van der Linden

section III|130 pages

Test Design

ByWim J. van der Linden

chapter 9|30 pages

Optimal Test Design

ByWim J. van der Linden

chapter 10|32 pages

Adaptive Testing

ByWim J. van der Linden

chapter 11|20 pages

Standard Setting

WithDaniel Lewis, Jennifer Lord-Bessen

chapter 12|18 pages

Test Speededness and Time Limits

ByWim J. van der Linden

chapter 13|28 pages

Item and Test Security

ByWim J. van der Linden

section IV|110 pages

Areas of Application

ByWim J. van der Linden

chapter 14|16 pages

Large-Scale Group-Score Assessments

WithJohn Mazzeo

chapter 15|16 pages

Psychological Testing

WithPaul De Boeck

chapter 16|20 pages

Cognitive Diagnostic Assessment

WithChun Wang, Hua-Hua Chang

chapter 17|16 pages

Health Measurement

WithRichard C. Gershon, Ron D. Hays, Michael A. Kallen

chapter 18|22 pages

Marketing Research

WithMartijn G. de Jong, Ulf Böckenholt

chapter 19|18 pages

Measuring Change Using Rasch Models

WithGerhard H. Fischer

section V|162 pages

Computer Programs

chapter 20|14 pages

IRT Packages in R

WithThomas Rusch, Patrick Mair, Reinhold Hatzinger

chapter 21|14 pages

Bayesian Inference Using Gibbs Sampling (BUGS) for IRT Models

WithMatthew S. Johnson

chapter 22|12 pages

BILOG-MG

WithMichele F. Zimowski

chapter 23|8 pages

PARSCALE

WithEiji Muraki

chapter 24|14 pages

IRTPRO

WithLi Cai

chapter 25|12 pages

Xcalibre 4

WithNathan A. Thompson, Jieun Lee

chapter 26|14 pages

EQSIRT

WithPeter M. Bentler, Eric Wu, Patrick Mair

chapter 27|12 pages

ACER ConQuest

WithRaymond J. Adams, Margaret L. Wu, Mark R. Wilson

chapter 28|12 pages

Mplus

WithBengt Muthén, Linda Muthén

chapter 29|14 pages

gllamm

WithSophia Rabe-Hesketh, Anders Skrondal

chapter 30|8 pages

Latent GOLD

WithJeroen K. Vermunt

chapter 31|6 pages

WinGen

WithKyung (Chris) T. Han

chapter 32|10 pages

Firestar

WithSeung W. Choi

chapter 33|10 pages

jMetrik

WithJ. Patrick Meyer
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