Confirmatory Factor Analysis for Applied Research, Second Edition (Methodology in the Social Sciences)

Important book for factor snalysi

A complete and exhaustive book on CFA. Truly recommended for anyone involved in applied research.

Excellent ouvrage (auteur reconnu dans le petit monde de la statistique en sciences humaines) permettant au lecteur minimalement initié de faire le lien logique entre les modèles factoriels descriptifs classiques (ACP) et les modèles confirmatoires de type Lisrel par exemple. Tout chercheur devrait en avoir un exemplaire dans sa bibliothèque.

It's comprehensive, written in a systematic way. Lots of useful tips, guidelines for practitioners. Heavy reading though. The major downside is not including R programing code.

Congrats to Tim Brown for his revised and extended 2nd edition. This book is a seminal work that eases the understanding and accessability of CFA/SEM-methods with a special knack for Mplus. I found both the syntaxes and examples extremely helpful, although some questions remained to be answered by the Mplus web-forum or the program handbook. An outstanding feature of the narration is Brown's repeated pledge for the use of estimations and models that not only "work and fit the data" but are adapted to the requirements and constraints which arise from the combination of variable types and research questions. Special sections on multiple-group cfas, missing data handling or power analyses add much-needed features to the core topic of applied CFA. I can recommend chapters of these books to students. Note that it might be helpful to visit the books website to be in touch with erratas and syntax examples free to download.

Having read quite a lot of literature on CFA/SEM, I wondered whether I should read yet another book on this topic. But Timothy A. Brown's work is a truly worthwhile endeavor, because I rarely, if ever, have read such a concise and comprehensive text on CFA, thus the basis for any SEM, as this one. The text covers all important areas in an accessible way, delivers a critical, yet constructive appraisal of the current state of the field, provides valuable information how to set up, run, and interpret a CFA and also gives detailed syntax for several statical software packages (e.g., Mplus, SAS, SPSS). I can highly recommend this book to graduate students and researchers as well as anyone interested in this statistical area in general.