Measurement for the Social Sciences: The C-OAR-SE Method and Why It Must Replace Psychometrics

Measurement for the Social Sciences: The C-OAR-SE Method and Why It Must Replace Psychometrics

by John R. Rossiter
     
 

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This book proposes a revolutionary new theory of construct measurement - called C-OAR-SE - for the social sciences. The acronym is derived from the following key elements: construct definition; object representation; attribute classification; rater entity identification; selection of item type; enumeration and scoring. The new theory is applicable to the design

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Overview

This book proposes a revolutionary new theory of construct measurement - called C-OAR-SE - for the social sciences. The acronym is derived from the following key elements: construct definition; object representation; attribute classification; rater entity identification; selection of item type; enumeration and scoring. The new theory is applicable to the design of measures of constructs in:

Management

Marketing

Information Systems

Organizational Behavior

Psychology

Sociology

C-OAR-SE is a rationally rather than empirically-based theory and procedure. It can be used for designing measures of the most complex and also the most basic constructs that we use in social science research. C-OAR-SE is a radical alternative to the traditional empirically-based psychometric approach, and a considerable amount of the book's content is devoted to demonstrating why the psychometric approach does not produce valid measures. The book argues that the psychometric approach has resulted in many misleading findings in the social sciences and has led to erroneous acceptance - or rejection - of many of our main theories and hypotheses, and that the C-OAR-SE approach to measurement would correct this massive problem.

The main purpose of this book is to introduce and explain C-OAR-SE construct measurement theory in a way that will be understood by all social science researchers and that can be applied to designing new, more valid measures. Featuring numerous examples, practical applications, end-of-chapter questions, and appendices, the book will serve as an essential resource for the academic researcher and the professional researcher alike.

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Editorial Reviews

From the Publisher
Aus den Rezensionen:

“… Das Buch ist flott geschrieben und für alle geeignet, die mit Skalenkonstruktion zu tun haben. Besondere formale Vorkenntnisse sind nicht vonnöten. Die Beispiele stammen aus verschiedenen sozialwissenschaftlichen Disziplinen. Auch für Jemanden, der stark von der Philosophie der explorativen Datenanalyse geprägt, ist das Buch ein Gewinn, da es einen kritischen Geist schafft, um statistisch generierte Skalen zu hinterfragen …“ (Prof. Dr. Dubravko Radic, in: Transfer Werbeforschung & Praxis, December/2011, Issue 4)

Product Details

ISBN-13:
9781441971579
Publisher:
Springer New York
Publication date:
12/06/2010
Edition description:
2011
Pages:
169
Product dimensions:
6.40(w) x 9.30(h) x 0.80(d)

Meet the Author

John R. Rossiter (B.Psych.Hons., W.A.; M.Sc. Marketing, U.C.L.A.; Ph.D. Communications, Penn.) is a Research Professor in the Department of Management and Marketing, University of Wollongong, Australia, and also Visiting Professor of Marketing in the Institute for Brand and Communication Research, Bergische Universität Wuppertal, Germany. An expert in marketing communications and measurement theory, he has held full-time appointments at The Wharton School, University of Pennsylvania; the Graduate School of Business, Columbia University; the University of Technology, Sydney; and the Australian Graduate School of Management, University of New South Wales. Since the publication of his first advertising textbook in 1987, he has been the most-cited Australian marketing author. John Rossiter has co-authored six books and published more than 60 refereed journal articles. He has also for many years been a marketing research consultant to government organizations and commercial companies in the U.S., the U.K., and Australia.

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