9789811374951-9811374953-A Course in Rasch Measurement Theory: Measuring in the Educational, Social and Health Sciences (Springer Texts in Education)

A Course in Rasch Measurement Theory: Measuring in the Educational, Social and Health Sciences (Springer Texts in Education)

ISBN-13: 9789811374951
ISBN-10: 9811374953
Edition: 1st ed. 2019
Author: David Andrich, Ida Marais
Publication date: 2019
Publisher: Springer
Format: Paperback 501 pages
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Book details

ISBN-13: 9789811374951
ISBN-10: 9811374953
Edition: 1st ed. 2019
Author: David Andrich, Ida Marais
Publication date: 2019
Publisher: Springer
Format: Paperback 501 pages

Summary

A Course in Rasch Measurement Theory: Measuring in the Educational, Social and Health Sciences (Springer Texts in Education) (ISBN-13: 9789811374951 and ISBN-10: 9811374953), written by authors David Andrich, Ida Marais, was published by Springer in 2019. With an overall rating of 4.4 stars, it's a notable title among other Testing & Measurement (Psychology & Counseling) books. You can easily purchase or rent A Course in Rasch Measurement Theory: Measuring in the Educational, Social and Health Sciences (Springer Texts in Education) (Paperback) from BooksRun, along with many other new and used Testing & Measurement books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.03.

Description

This book applies Rasch measurement theory to the fields of education, psychology, sociology, marketing and health outcomes in order to measure various social constructs. The chief focus is on first principles of both the theory and its applications. Because software is readily available to carry out analyses of real data, numerous small examples are provided in the book. The software used in these examples, and which is helpful in working through the text, is RUMM2030 (Rasch unidimensional models for measurement).

The book’s main goals are to equip researchers with the confidence they need in order to be in control of the analysis and interpretation of data, and to make professional rather than primarily statistical decisions mechanically. Because statistical principles are necessarily involved, reviews of the requisite statistics are provided in the Appendix.

The content is based on courses that have been taught both online and in intensive form for over two decades. Although first principles are emphasised, much of the book is based on research conducted by the two authors and their colleagues.


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