Applying the Rasch Model: Fundamental Measurement in the Human Sciences [Hardcover]

Trevor G. Bond (Author), Christine M. Fox (Author)

Book Description

ISBN-10: 0805834761 | ISBN-13: 978-0805834765 | Publication Date: April 1, 2001 | Edition: 1

Trevor Bond has worked with leading Rasch theoreticians for more than 15 years, advising developmentalists and teachers on how to conduct and interpret Rasch analyses of their own data. The goals of this authored volume are:

• to present an accessible overview of the basic properties and principles of Rasch analysis, that does not require a sophisticated statistical background;
• to demonstrate how Rasch analysis can be applied to generic problems encountered by psychologists and educators; and
• to prepare readers for performing their own analyses and interpreting the results.

This book is ideal for researchers in the human sciences interested in learning how to implement the Rasch model with their own data.

Editorial Reviews

Review

"A very clearly written book...I would recommend Bond & Fox to students and colleagues who have absolutely no knowledge of Rasch measurement."
—Randall Penfield, Ph.D.
University of Florida

"... it's the best book available for introducing IRT to novices ... My students have gained a good grasp of the what and why of Rasch from reading the book."
—Kathy E. Green, Ph.D.
University of Denver

"The first edition is an excellent teaching tool, and I think the revised version will be even better."
—George Engelhard, Ph.D.
Emory University

Product Details

• Hardcover: 288 pages
• Publisher: Psychology Press; 1 edition (April 1, 2001)
• Language: English
• ISBN-10: 0805834761
• ISBN-13: 978-0805834765
• Product Dimensions: 7 x 6.5 x 0.8 inches
• Shipping Weight: 1.3 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
• Amazon Best Sellers Rank: #2,258,661 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

15 of 15 people found the following review helpful:

5.0 out of 5 stars Rasch Modeling for Mere Mortals, May 14, 2001

By 

"zircom" - See all my reviews

This review is from: Applying the Rasch Model: Fundamental Measurement in the Human Sciences (Hardcover)

I expected this book to be another barely undestandable book on Rasch-type model fitting, written by authors who's principle purpose is first to dazzle readers, then discourage them with mysterious statistical spells and mathmatical enchantments. I was wrong. This is a highly readable book which contains powerful arguments for the application and utility of the the Rasch model. The content is rational, and it's presentation lucid. After a few pages it becomes surprisingly clear these authors actually like their subject and want to share it with others!

If the statistically challenged wish to learn more about a very important new direction in measurement, and can afford only one text, this should be the book.

10 of 10 people found the following review helpful:

5.0 out of 5 stars Clear, Concise and Fun!, June 28, 2001

By 

Rich Haas (Evans, GA USA) - See all my reviews

This review is from: Applying the Rasch Model: Fundamental Measurement in the Human Sciences (Hardcover)

This is a book which takes a daunting subject and treats it in such a fashion that immediately draws the most novice researcher to the topic. The authors take their subject seriously, and take themselves not seriously at all. The result is that rare combination of the "how-to" technical aspects of Rasch Analysis with an entertaining and informative discussion of the theoretical basis of the subject. An enjoyable read, and filled with helpful and useful information. A must for the professional library of any researcher!

5 of 6 people found the following review helpful:

5.0 out of 5 stars Excellent Introduction to the Rasch Model, August 2, 2002

By A Customer

This review is from: Applying the Rasch Model: Fundamental Measurement in the Human Sciences (Paperback)

An excellent contribution to theory and practice. The book is a lucid introduction to the one-parameter IRT methodology that is extremely well-written.