Confirmatory Factor Analysis for Applied Research (Methodology in the Social Sciences) (Paperback) by Brown Timothy A.
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 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.