Measurement for the Social Sciences the C-OAR-SE method and why it must replace psychometrics

his 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; enume...

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Bibliographic Details
Main Author: Rossiter, John R. (Author)
Format: Book
Language:English
Published: New York Springer 2011
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Online Access:Click Here to View Status and Holdings.
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245 1 0 |a Measurement for the Social Sciences  |b the C-OAR-SE method and why it must replace psychometrics  |c John R. Rossiter 
264 # 1 |a New York  |b Springer  |c 2011 
264 # 4 |c ©2011 
300 # # |a xv, 169 pages  |b illustrations  |c 25 cm 
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504 # # |a Includes bibliographical references and index 
520 # # |a his 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 students and professional researcher alike. 
650 # 0 |a Social sciences  |x Statistical methods 
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650 # 0 |a Marketing research  |x Methodology 
650 # 0 |a Consumer behavior  |x Research 
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