Measurement connects theoretical concepts to what is observable in the empirical world, and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and Shawn Bauldry introduce a popular approach to measurement: confirmatory factor analysis, with examples in every chapter draw from national survey data. Data to replicate the examples are available on a companion website, along with code in R, Stata, and Mplus.

J. Micah Roos is an associate professor of sociology at Virginia Polytechnic Institute and State University. His research interests include knowledge, science, religion, culture, stratification, measurement, racial attitudes, and quantitative methods. He ties these interests together through a quantitative, measurement approach to the sociology of knowledge and culture, with a focus on stratification along the early life course. Another strand of his work involves applying techniques in confirmatory factor analysis to the problem of differential item functioning or item-level bias. He holds a PhD in Sociology from the University of North Carolina at Chapel Hill. 

Chapter 1: Introduction
Chapter 2: Model Specification
Chapter 3: Identification and Estimation
Chapter 4: Model Evaluation and Respecification
Chapter 5: Measurement Invariance
Chapter 6: Categorical Indicators
Chapter 7: Conclusion
Appendix: Reliability of Scales
Glossary
Bibliography