The Theory and Practice of Item Response Theory (Methodology in the Social Sciences)
ISBN-13:
9781593858698
ISBN-10:
1593858698
Edition:
1
Author:
R. J. de Ayala
Publication date:
2008
Publisher:
The Guilford Press
Format:
Hardcover
448 pages
Category:
Research
,
Psychology & Counseling
,
Testing & Measurement
,
Research
,
Psychology
,
Testing & Measurement
,
Methodology
,
Social Sciences
,
Sociology
FREE US shipping
Book details
ISBN-13:
9781593858698
ISBN-10:
1593858698
Edition:
1
Author:
R. J. de Ayala
Publication date:
2008
Publisher:
The Guilford Press
Format:
Hardcover
448 pages
Category:
Research
,
Psychology & Counseling
,
Testing & Measurement
,
Research
,
Psychology
,
Testing & Measurement
,
Methodology
,
Social Sciences
,
Sociology
Summary
The Theory and Practice of Item Response Theory (Methodology in the Social Sciences) (ISBN-13: 9781593858698 and ISBN-10: 1593858698), written by authors
R. J. de Ayala, was published by The Guilford Press in 2008.
With an overall rating of 3.6 stars, it's a notable title among other
Research
(Psychology & Counseling, Testing & Measurement, Research, Psychology, Testing & Measurement, Methodology, Social Sciences, Sociology) books. You can easily purchase or rent The Theory and Practice of Item Response Theory (Methodology in the Social Sciences) (Hardcover) from BooksRun,
along with many other new and used
Research
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $19.05.
Description
Item response theory (IRT) is a latent variable modeling approach used to minimize bias and optimize the measurement power of educational and psychological tests and other psychometric applications.
Designed for researchers, psychometric professionals, and advanced students, this book clearly presents both the "how-to" and the "why" of IRT. It describes simple and more complex IRT models and shows how they are applied with the help of widely available software packages. Chapters follow a consistent format and build sequentially, taking the reader from model development through the fit analysis and interpretation phases that one would perform in practice. The use of common empirical data sets across the chapters facilitates understanding of the various models and how they relate to one another.We would LOVE it if you could help us and other readers by reviewing the book
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