Scaling Procedures
Issues and Applications
1st Edition
Published on 14. May 2003
Book
Paperback/Softback
224 pages
978-0-7619-2027-4 (ISBN)
Description
Effective measurement is a cornerstone of scientific research. Yet many social science researchers lack the tools to develop appropriate assessment instruments for the measurement of latent social-psychological constructs.
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.
Interdisciplinary in application, this reader-friendly handbook includes
A discussion of measurement in the social sciences and the importance of theory in scale development
Techniques for assessing dimensionality of constructs
An overview of reliability and validity models, theory, and criteria
Suggestions for generating and judging measurement items
Recommended procedures for designing and conducting studies to develop the scale
Confirmatory Factor Analyses (CFA) for finalizing the scale
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.
Designed for graduate students in measurement/psychometrics, structural equation modeling, and survey research seminars across the social science disciplines, Scaling Procedures: Issues and Applications also addresses the needs of researchers and academics in all business, psychology, and sociology-related disciplines.
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.
Interdisciplinary in application, this reader-friendly handbook includes
A discussion of measurement in the social sciences and the importance of theory in scale development
Techniques for assessing dimensionality of constructs
An overview of reliability and validity models, theory, and criteria
Suggestions for generating and judging measurement items
Recommended procedures for designing and conducting studies to develop the scale
Confirmatory Factor Analyses (CFA) for finalizing the scale
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.
Designed for graduate students in measurement/psychometrics, structural equation modeling, and survey research seminars across the social science disciplines, Scaling Procedures: Issues and Applications also addresses the needs of researchers and academics in all business, psychology, and sociology-related disciplines.
Reviews / Votes
"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 *More details
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 12 mm
Weight
345 gr
ISBN-13
978-0-7619-2027-4 (9780761920274)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Richard G. Netemeyer | William O. Bearden | Subhash Sharma
Scaling Procedures
Issues and Applications
Book
06/2003
1st Edition
SAGE Publications Inc
€218.30
Shipment within 15-20 days
Persons
Richard G. Netemeyer is the Ralph E. Beeton Professor of Free Enterprise in the Marketing Division and Senior Associate Dean at the McIntire 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 McIntire 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 is the Distinguished Professor Emeritus and former Bank of America Chaired Professor of Marketing at the University of South Carolina. He is currently on the editorial review boards of JCR, JMR, JM, and JCP. He served as an Associate Editor for JCR during 1999-2002. Professor Bearden has received both the University Amoco Teaching Award, that is presented annually to one faculty member, and the University Mungo Award for Teaching Excellence. He has twice has been awarded the Moore School of Business Teacher of the Year Award and recognized as a faculty initiate in Mortar Board, ODK, Beta Gamma Sigma, and Golden Key, and received the 2004 University Educational Foundation Research Award for Professional Schools and the 2005 University Trustee Professorship Award. Professor Bearden serves as the University SEC Faculty Athletic Representative and received the first Distinguished Service Award from the Journal of Consumer Research in 2006. His research interests include consumer behavior, marketing research, pricing, and the evaluation of promotions. He was faculty co-director for the University Lilly Teaching Fellows Program from 1992-1995. Bill has published over twenty-five articles in the Journal of Marketing Research, the Journal of Marketing, and the Journal of Consumer Research, as well as having a number of other publications. He has coauthored Marketing Principles and Perspectives, 5th Edition, 2006, Irwin/McGraw-Hill, Inc. 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.
Content
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
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