A Course in Rasch Measurement Theory Measuring in the Educational, Social and Health Sciences /

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 ou...

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Bibliographic Details
Main Authors: Andrich, David (Author, http://id.loc.gov/vocabulary/relators/aut), Marais, Ida (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Springer Texts in Education,
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:XIX, 482 p. 134 illus., 61 illus. in color. online resource.
ISBN:9789811374968
ISSN:2366-7672
DOI:10.1007/978-981-13-7496-8