Confirmatory Factor Analysis
- J. Micah Roos - Virginia Polytechnic Institute and State University, USA
- Shawn Bauldry - Purdue University, USA
Intermediate/Advanced Statistics | Methods & Statistics in Public Administration | Quantitative Research Methods in Education | Quantitative Research Methods in Education | Statistics - General Interest | Statistics in Criminal Justice | Statistics in Political Science | Statistics in Psychology | Statistics in Sociology | Structural Equation Modeling, Hierarchical Linear Modeling, & Multilevel Modeling |
Example code as well as data (variously in R using lava, Stata, and Mplus) is provided by chapter.
Confirmatory Factor Analysis is well written and easy to read, The book covers the essentials necessary for understanding and using CFA. It is appropriate for graduate students and professors new to this analysis approach.
The authors provide a masterful and fluid overview of confirmatory factor analysis that will guide readers to the best practices whether conducting their own research or evaluating the research of others.
This is a well-written and comprehensive text.
Roos and Bauldry lucidly set out foundations of confirmatory factor analysis (CFA) as applied in the assessment and construction of scales. Beginning with model specification, they discuss identification, estimation, and assessment of CFA models, before developing extensions to assessing measurement invariance and categorical (rather than quantitative) indicators.
Sample Materials & Chapters
Chapter 2. Model Specification