Scaling Procedures
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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.
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
Index
Additional materials
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.
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
Index
Additional materials
Reviews
Scaling Procedures
Issues and Applications
March 2003 | 224 pages | Sage US
| Format | Published Date | ISBN | Price |
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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.
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