Scaling Procedures
Issues and Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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.
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Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Contents
- Acknowledgments
- Foreword
- 1. Introduction and Overview
- 2. Dimensionality
- 3. Reliability
- 4. Validity
- 5. Steps 1 and 2: Construct Definition and Generating and Judging Measurement Items
- 6. Step 3: Designing and Conducting Studies to Develop a Scale
- 7. Step 4: Finalizing a Scale
- 8. Concluding Remarks
- References
- Author Index
- Subject Index
- About the Authors