Scaling Procedures for Self-Report Measures in the Social Sciences: Issues and Applications / Edition 1

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Overview

Scaling Procedures: Issues and Applications examines the issues involved in developing and validating multi-item self-report scales of latent constructs. Distinguished researchers and award-winning educators Richard G. Netemeyer, William O. Bearden, and Subhash Sharma present a four-step approach for multi-indicator scale development. With these steps, the authors include relevant empirical examples and a review of the concepts of dimensionality, reliability, and validity.

Scaling Procedures: Issues and Applications supplies cutting-edge strategies for developing and refining measures. Providing concise chapter introductions and summaries, as well as numerous tables, figures, and exhibits, the authors present recommended steps and overlapping activities in a logical, sequential progression.

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Editorial Reviews

Personnel Psychology Book Review Section
"I recommend this book to any researcher (graduate student, academic, social scientist) who is considering developing a summated rating scale. For those who are already sophisticated in psychometrics and data analysis (factor analysis and generalizability theory analysis), the book provides a clear outline of what needs to be done. "— Robert G. Jones
Personnel Psychology Book Review Section - Robert G. Jones
"I recommend this book to any researcher (graduate student, academic, social scientist) who is considering developing a summated rating scale. For those who are already sophisticated in psychometrics and data analysis (factor analysis and generalizability theory analysis), the book provides a clear outline of what needs to be done. "
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Product Details

  • ISBN-13: 9780761920274
  • Publisher: SAGE Publications
  • Publication date: 3/12/2003
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 222
  • Sales rank: 884,340
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.47 (d)

Meet the Author

Richard G. Netemeyer is the Ralph E. Beeton Professor of Free Enterprise in the Marketing Division and Senior Associate Dean at the Mc Intire School of Commerce at the University of Virginia, Charlottesville, VA. He received his Ph.D. in Business Administration with a specialization in Marketing from the University of South Carolina in 1986. He was a member of the Marketing faculty at the E. J. Ourso School of Business at Louisiana State University from 1986 to 2001. In 2001, he joined the Mc Intire School of Commerce. Professor Netemeyer’s research has appeared in the Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Journal of Applied Psychology, OBHDP, Marketing Science, American Journal of Psychiatry, American Journal of Public Health, and others. He is a co-author of two textbooks pertaining to measurement and psychometrics, and is a member of the editorial review boards of Journal of Consumer Research, Journal of Marketing, and the Journal of Public Policy & Marketing.

William O. Bearden,Bank of America Professor in Business Emeritus, Distinguished Professor Emeritus in Marketing at the University of South Carolina, received his Ph.D. from the University of South Carolina in 1975 and served previously on the faculties of Western Kentucky and the University of Alabama from 1976-1978. He is still an active faculty member in the Moore School of Business and is currently on the editorialreviewboards of the Journal of Marketing Research, the Journal of Consumer Research,the Journal of Consumer Psychology, the Journal of Marketing, the Journal of Retailing, and Marketing Letters He also served as an Associate Editor for Journal of Consumer Researchduring 1999-2002.

Dr. Subhash Sharma is James F. Kane Professor of Marketing, Marketing Department, Darla Moore School of Business, the University of South Carolina. Professor Sharma's research interests include Marketing strategy, structural equation modeling, data mining, customer relationship management, marketing-operations interface, and global marketing strategies.

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Table of Contents

About the Authors
Chapter One: Introduction and Overview
Purpose of the Book.
Perspectives on Measurement in the Social Sciences.
Latent Constructs
Overview of dimensionality, reliability, and validity
Overview of recommended procedures and steps in scale development.
Chapter Two: Dimensionality
Introduction.
Dimensionality of construct, items, and a set of items.
Does uni-dimensionality of a set of items imply uni-dimensionality of items or
construct?

Relevance of uni-dimensionality.
How to assess dimensionality of constructs.
Chapter Three: Reliability
Introduction
The true-score model
Coefficient alpha
Generalizability Theory
Chapter Four: Validity
Overview of Construct Validity
Translation validity
Criterion validity
Convergent and discriminant validity
Known-group validity
Nomological validity
Chapter Five: Steps 1 and 2: Construct Definition and Generating and Judging
Measurement items
Chapter 5: Steps 1 and 2: Construct Definition and Judging Measurement Items
Introduction
Step 1: Construct definition and content domain
Step 2: Generating and judging measurement items
Applications of Steps 1 and 2.
Chapter Six: Step 3: Designing and Conducting Studies to Develop the Scale
Introduction
Pilot testing
Conducting multiple studies for initial development and validation
Initial item analyses: Exploratory factor analysis (EFA)
Initial item and reliability analyses
A final caveat
EFA and item and reliability analyses examples from the literature
Chapter 7: Step 4: Finalizing the Scale
Introduction
EFA and additional item analyses
Confirmatory Factor Analyses (CFA)
Additional evaluations of validity
Establishing norms
Applying generalizability theory
Chapter Eight: Concluding Remarks
Index

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