With its emphasis on practical and conceptual aspects, rather than
mathematics or formulas, this accessible book has established itself as
the go-to resource on confirmatory factor analysis (CFA). Detailed,
worked-through examples drawn from psychology, management, and sociology
studies illustrate the procedures, pitfalls, and extensions of CFA
methodology. The text shows how to formulate, program, and interpret CFA
models using popular latent variable software packages (LISREL, Mplus,
EQS, SAS/CALIS); understand the similarities and differences between CFA
and exploratory factor analysis (EFA); and report results from a CFA
study. It is filled with useful advice and tables that outline the
procedures. The companion website (www.guilford.com/brown3-materials)
offers data and program syntax files for most of the research examples,
as well as links to CFA-related resources.
New to This Edition
*Updated throughout to incorporate important developments in latent
variable modeling.
*Chapter on Bayesian CFA and multilevel measurement models.
*Addresses new topics (with examples): exploratory structural equation
modeling, bifactor analysis, measurement invariance evaluation with
categorical indicators, and a new method for scaling latent variables.
*Utilizes the latest versions of major latent variable software
packages.