Clear definitions and notation for confirmatory factor analysis enable accessible learning
Extensive coverage of measurement models with diverse relationships between latent and observed variables supports flexible application
Includes a chapter on categorical indicators, expanding the scope beyond traditional continuous variables
Companion website with replication data and code for R, Stata, and Mplus enhances practical research capabilities
Real-world examples drawn from national surveys provide concrete illustrations for readers
Summarized by Shop
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
