Confirmatory Factor Analysis for Applied Research
eBook - PDF

Confirmatory Factor Analysis for Applied Research

  1. 462 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Confirmatory Factor Analysis for Applied Research

About this book

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.

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Yes, you can access Confirmatory Factor Analysis for Applied Research by Timothy A. Brown in PDF and/or ePUB format, as well as other popular books in Psychology & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Methodology in the Social Sciences
  4. Title
  5. Copyright
  6. Dedication
  7. Series Editor’s Note
  8. Preface
  9. Contents
  10. 1. Introduction
  11. 2. The Common Factor Model and Exploratory Factor Analysis
  12. 3. Introduction to CFA
  13. 4. Specification and Interpretation of CFA Models
  14. 5. Model Revision and Comparison
  15. 6. CFA of Multitrait–Multimethod Matrices
  16. 7. CFA with Equality Constraints, Multiple Groups, and Mean Structures
  17. 8. Other Types of CFA Models: Higher‑Order Factor Analysis, Scale Reliability Evaluation, and Formative Indicators
  18. 9. Data Issues in CFA: Missing, Non‑Normal, and Categorical Data
  19. 10. Statistical Power and Sample Size
  20. 11. Recent Developments Involving CFA Models
  21. References
  22. Author Index
  23. Subject Index
  24. About the Author
  25. Blank Page