9780805853032-0805853030-Item Response Theory (Multivariate Applications Series)

Item Response Theory (Multivariate Applications Series)

ISBN-13: 9780805853032
ISBN-10: 0805853030
Edition: 2
Author: Susan E. Embretson, Steven P. Reise
Publication date: 2011
Publisher: Routledge Academic
Format: Paperback
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Book details

ISBN-13: 9780805853032
ISBN-10: 0805853030
Edition: 2
Author: Susan E. Embretson, Steven P. Reise
Publication date: 2011
Publisher: Routledge Academic
Format: Paperback

Summary

Item Response Theory (Multivariate Applications Series) (ISBN-13: 9780805853032 and ISBN-10: 0805853030), written by authors Susan E. Embretson, Steven P. Reise, was published by Routledge Academic in 2011. With an overall rating of 4.1 stars, it's a notable title among other books. You can easily purchase or rent Item Response Theory (Multivariate Applications Series) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book develops an intuitive understanding of item response theory (IRT) principles through the use of graphical displays and analogies to psychological principles. The IRT psychometric method is especially useful to psychologists and other social scientists that are familiar with small scale cognitive and personality measures. Familiar concepts are used to explain various principles such as contemporary IRT models and estimation methods. Polytomous IRT models are given central coverage since many psychological tests use rating scales. Applications in various research areas are described. This book is especially popular among graduate students and practitioners who need to understand the contemporary psychometric foundations of the tests that they administer and/or use to analyze IRT scales in their research. It is an ideal book for clinical, industrial, counseling, educational, and behavioral medicine professionals and students familiar with classical testing principles. Exposure to material covered in first-year graduate statistics courses is helpful. All symbols and equations are thoroughly explained verbally and graphically.
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