Introduction to Item Response Theory Models and Applications (Multivariate Applications Series)
Language: English
Published by Routledge, 2020
- First Edition
- Softcover
- New

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Condition: New
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2020. 1st Edition. paperback. . . . . .
Seller Inventory # V9780367471019
- Title
- Introduction to Item Response Theory Models and Applications (Multivariate Applications Series)
- Author
- Carlson, James
- Publisher
- Routledge
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0367471019
- ISBN 13
- 9780367471019
- Edition
- 1st Edition
- Series
- Book 25 of 29: Multivariate Applications Series
This is a highly accessible, comprehensive introduction to item response theory (IRT) models and their use in various aspects of assessment/testing. The book employs a mixture of graphics and simulated data sets to ease the reader into the material and covers the basics required to obtain a solid grounding in IRT.
Written in an easily accessible way that assumes little mathematical knowledge, Carlson presents detailed descriptions of several commonly used IRT models, including those for items scored on a two-point (dichotomous) scale such as correct/incorrect, and those scored on multiple-point (polytomous) scales, such as degrees of correctness. One chapter describes a model in-depth and is followed by a chapter of instructions and illustrations showing how to apply the models to the reader’s own work.
This book is an essential text for instructors and higher level undergraduate and postgraduate students of statistics, psychometrics, and measurement theory across the behavioral and social sciences, as well as testing professionals.
"Synopsis" may belong to another edition of this title.
About the Author
James E. Carlson received his Ph.D. from the University of Alberta, Canada, specializing in applied statistics. He was professor of education at the universities of Pittsburgh, USA, and Ottawa, Canada. He also held psychometric positions at testing organizations and the National Assessment Governing Board, U. S. Department of Education. He is a former editor of the Journal of Educational Measurement and has authored two book chapters and a number of journal articles and research reports.
"About the title" may belong to another edition of this title.
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