Handbook of Item Response Theory

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1PL Model
Ability Parameter
Adaptive Test
advanced psychometric modeling applications
Anders Skrondal
April L. Zenisky
Bayesian inference techniques
Bengt Muthen
Bifactor Model
Cat
Category=JMBT
Cees A. W. Glas
Chun Wang
cognitive diagnostic assessment
Dani Gamerman
Daniel Lewis
DIF
differential item functioning
Discrimination Parameters
educational assessments
Eiji Muraki
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Eric Wu
Flo B. Goncalves
Gerhard H. Fischer
Gibbs Sampling
GPCM
Graded Response Model
health outcomes measurement
Hua-Hua Chang
IRT
IRT in marketing research
IRT in medical diagnosis
IRT Software
Item Characteristic Curves
Item Parameters
Item Pool
J. Patrick Meyer
Jennifer Lord-Bessen
Jeroen K. Vermunt
Jieun Lee
John Mazzeo
Kyung (Chris) T. Han
Li Cai
Linda Muthen
Margaret L. Wu
Mark R. Wilson
Martijn G. de Jong
Martijn P. F. Berger
Matthew S. Johnson
measurement of change
Michael A. Kallen
Michele F. Zimowski
Michelle D. Barrett
Mixture IRT Model
Nathan A. Thompson
Naveed Khalid
Number Correct Score
Partial Credit Model
Patrick Mair
Paul De Boeck
person fit and scoring
Peter M. Bentler
Polytomous IRT Model
Polytomous Items
Posterior Distribution
psychological testing
Rasch Model
Raymond J. Adams
Reinhold Hatzinger
Response modeling
Richard C. Gershon
Richard M. Luecht
Robert D. Gibbons
Ron D. Hays
Ronald K. Hambleton
score interpretation strategies
Seung W. Choi
Shadow Test
Sophia Rabe-Hesketh
test calibration methods
Test Takers
Test theory
Thomas Rusch
Tufi M. Soares
Ulf Bockenholt
Unidimensional IRT Model

Product details

  • ISBN 9781466514331
  • Weight: 1280g
  • Dimensions: 178 x 254mm
  • Publication Date: 16 Jan 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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.