Confirmatory Factor Analysis for Applied Research, Second EditionGuilford Publications, 2015 M01 7 - 462 páginas 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- 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. |
Contenido
1 Introduction | 1 |
2 The Common Factor Model and Exploratory Factor Analysis | 10 |
3 Introduction to CFA | 35 |
4 Specification and Interpretation of CFA Models | 88 |
5 Model Revision and Comparison | 139 |
6 CFA of MultitraitMultimethod Matrices | 186 |
7 CFA with Equality Constraints Multiple Groups and Mean Structures | 206 |
HigherOrder Factor Analysis Scale Reliability Evaluation and Formative Indicators | 287 |
Missing NonNormal and Categorical Data | 333 |
10 Statistical Power and Sample Size | 380 |
11 Recent Developments Involving CFA Models | 400 |
| 431 | |
Author Index | 445 |
| 449 | |
About the Author | 462 |
Otras ediciones - Ver todas
Confirmatory Factor Analysis for Applied Research, Second Edition Timothy A. Brown Vista previa limitada - 2015 |
Términos y frases comunes
addition analysis applied approach aspects Bayesian calculated CFA model Chapter common completely standardized computed conducted considered constraints construct contains continued correlated covariance cross-loadings data set Depression determine difference direct discussed distribution effects equal equation equivalent error error variances evaluation example fact factor loadings factor variances Figure fixed follows formative freely estimated given groups higher-order identified illustrated important included indicators input matrix instance intercepts interpreted invariance latent variable LISREL matrix means measurement model method missing data model fit Mplus multiple noted observed obtained output parameter estimates pattern population positive predicted presented prior problems procedures produce programs provides reasons referred reflects regression relationships reliability represent reproduce researcher RMSEA sample scale scores selected shown significant single Social solution specification squared statistical step structure substantive syntax Table tion types unique unstandardized validity values variance zero