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Introduction to Nonparametric Item Response Theory

Introduction to Nonparametric Item Response Theory

May 2002 | 176 pages | SAGE Publications, Inc
Introduction to Nonparametric Item Response Theory addresses an important and complex topic in test development in a manner that is precise and accurate, yet accessible to students and practitioners with a modest background in classical test theory. It also provides an excellent introduction to nonparametric IRT models for the more mathematically sophisticated student or researcher who will welcome the extensive additonal reading lists that are found at the conclusion of each chapter.

Introduction to Nonparametric Item Response Theory is an accessible introduction to constructing tests/scales using nonparametric IRT. It should be of great use to social scientists who construct their own measurement instruments, as well as those who provide them statistical support. For those who focus on larger scale standardized tests, the volume provides a refreshing step back to look at some important issues in the field and some alternative methods of analysis.”

Journal of the American Statistical Association

The authors covered the basics of IRT in a plain language. This textbook is not difficult to follow by readers that have little or no previous knowledge on IRT.
The only difficulties students may find are that the approach is very theoretical and equations driven, and the practical application of the material with specific software requires further literature.
Overall the textbook is a great supplementary material and essential for the understanding of IRT.

Dr Bruno Schivinski
Business, Law & Social Sciences, Nottingham Trent University
January 13, 2016

A detailed and thorough introduction to this complex area. I found it very useful and interesting personally for my own understanding of advanced measurement theory relating to psychometrics and assessment.

Dr Stephen Greenwood
Medical Education, Bristol University
February 14, 2013

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ISBN: 9780761908135
ISBN: 9780761908128

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