Table of Contents

1. Overview
General Perspectives on Measurement
Historical Origins of Measurement in Social Science
Later Developments in Measurement
The Role of Measurement in the Social Sciences
Summary and Preview
Exercises
2. Understanding the Latent Variable
Constructs versus Measures
Latent Variable as the Presumed Cause of Item Values
Path Diagrams
Further Elaboration of the Measurement Model
Parallel Tests
Alternative Models
Exercises
Note
3. Reliability
Methods Based on the Analysis of Variance
Continuous versus Dichotomous Items
Internal Consistency
Reliability Based on Correlations Between Scale Scores
Reliability and Statistical Power
Generalizability Theory
Summary
Exercises
Notes
4. Validity
Content Validity
Criterion-Related Validity
Construct Validity
Exercises
5. Guidelines in Scale Development
Step 1: Determine Clearly What it is You Want to Measure
Step 2: Generate an Item Pool
Step 3: Determine the Format for Measurement
Step 4: Have Initial Item Pool Reviewed by Experts
Step 5: Consider Inclusion of Validation Items
Step 6: Administer Items to a Development Sample
Step 7: Evaluate the Items
Step 8: Optimize Scale Length
Exercises
Note
6. Factor Analysis
Overview of Factor Analysis
Conceptual Description of Factor Analysis
Bifactor and Hierarchical Factor Models
Interpreting Factors
Principle Components versus Common Factors
Confirmatory Factor Analysis
Using Factor Analysis in Scale Development
Sample Size
Conclusion
Exercises
7. An Overview of Item Response Theory
Item Difficulty
Item Discrimination
Guessing, or False Positives
Item-Characteristic Curves
IRT Applied to Multiresponse Items
Conclusions
Exercises
8. Measurement in the Broader Research Context
Before Scale Development
After Scale Administration
Final Thoughts
Exercises

About the Author

Robert F. DeVellis is Professor Emeritus in the Department of Health Behavior (Gillings School of Global Public Health) at the University of North Carolina at Chapel Hill. Dr. DeVellis has more than 40 years of experience in the measurement of psychological and social variables. He served as the first domain chair for Social Outcomes of the Patient-Reported Outcomes Measurement Information System (PROMIS) consortium, a multisite National Institutes of Health (NIH) Roadmap initiative directed at identifying, modifying, testing, and disseminating outcome measures for use by NIH investigators. He has served on the Board of Directors for the American Psychological Association’s Division of Health Psychology (38), on the Arthritis Foundation’s Clinical/Outcomes/Therapeutics Research Study Section, and on the Advisory Board of the Veterans Affairs Measurement Excellence Initiative. He is the recipient of the 2005 Distinguished Scholar Award from the Association of Rheumatology Health Professionals and is an associate editor of Arthritis Care and Research. In addition, he has served as guest editor, guest associate editor, or reviewer for more than two dozen other journals. He has served as principal investigator or co-investigator since the early 1980s on a series of research projects funded by the federal government and private foundations.

Reviews

"This is the foremost text on scale development for both the experienced and novice researcher alike."
*Richard Conti*

"The Fourth Edition captures the recent development in measurement (e.g., alternatives to Alpha, bifactor model, hierarchical factor model, and available tools in R) by explaining concepts using accessible languages and examples."
*Shuyan Sun*

"The Fourth Edition of Scale Development incorporates practical examples and exercises to aid in student learning and understanding the fundamentals of measurement. The text continues to be a go-to resource for scholars and students alike." 
*Stephen W. Dittmore*

PRAISE FOR THE PREVIOUS EDITION

"The key strength of this text is its ability to present the basic and necessary background on scale construction and measurement for the subsequent material, either in the context of the same first-year graduate course or in future courses during a masters and PhD program."
*René Bautista*

"This book does an excellent job in explaining complicated topics in test construction at a level that students can understand. The use of specific examples that demonstrate key points is very effective."
*Jonathan Feldman, Yeshiva University*