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Confirmatory Factor Analysis for Applied Research (Methodology in the Social Sciences)
 
 
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Confirmatory Factor Analysis for Applied Research (Methodology in the Social Sciences) [Paperback]

Timothy A. Brown
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Confirmatory Factor Analysis for Applied Research (Methodology in the Social Sciences) + Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Second Edition (Multivariate Applications Series) + Principles and Practice of Structural Equation Modeling: Third Edition (Methodology in the Social Sciences)
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Product details

  • Paperback: 475 pages
  • Publisher: Guilford Press; New edition edition (4 May 2006)
  • Language English
  • ISBN-10: 1593852746
  • ISBN-13: 978-1593852740
  • Product Dimensions: 22.6 x 15 x 2.5 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 269,193 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Timothy A. Brown
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Product Description

Review

'I found the author's coverage of confirmatory factor analysis (CFA) both clear and accurate. I thought the explanations were pitched at the right level of mathematical and statistical complexity for the intended audience. In fact, the coverage of certain topics - such as the problem of empirical under-identification and the computation of determinants and their functional significance in the assessment of global model fit - are among the best I've read. This is a book that students will be glad to have on their shelves when they turn to their own data later on.' - Christopher M. Federico, Department of Psychology and Department of Political Science, University of Minnesota

'Compared to other books, this book offers a lot of details which would facilitate better understanding of confirmatory factor analysis (CFA). The author is very good at explaining a lot of processes by examples, and includes clears figures and tables. I definitely recommend it to instructors who teach a course on CFA, especially for students who are not in quantitative psychology.' - Ke-Hai Yuan, Department of Psychology, University of Notre Dame

Product Description

Emphasizing practical and conceptual aspects of confirmatory factor analysis (CFA) over mathematics and formulas, Brown uses rich examples derived from the psychology, management, and sociology literatures to provide in-depth treatment of the concepts, procedures, pitfalls, and extensions of CFA methodology. Chock-full of useful advice, and including tables that recap the steps of procedures, the text shows readers how to conduct exploratory factor analysis (EFA) and understand similarities and differences to CFA; formulate, program, and interpret CFA models using popular latent variable software packages such as LISREL, Mplus, Amos, EQS, and SAS/CALIS; and report results from a CFA study. Also covered are extensions of CFA to traditional IRT analysis, methods for determining needed sample sizes, and new CFA modeling possibilities (e.g., multilevel factor models, factor mixture models). Special features include a Web page offering data and program syntax files for many of the research examples, as well as links to CFA-related resources.


Inside This Book (Learn More)
First Sentence
Confirmatory factor analysis (CFA) is a type of structural equation modeling (SEM) that deals specifically with measurement models, that is, the relationships between observed measures or indicators (e.g., test items, test scores, behavioral observation ratings) and latent variables or factors. Read the first page
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Customer Reviews

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Most Helpful Customer Reviews
1 of 1 people found the following review helpful
Format:Paperback
I haven't read too many textbooks recently that have really grasped my attention, but this is definately one of them. Whether your research is exploratory or confirmatory, Brown's text walks you through the theoretical considerations as well as guiding you through some examples with the more popular software such as Mplus and Lisrel. A truly fantastic book. Could not recommend more highly.
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Brilliant book 6 Oct 2011
By Ennis
Format:Paperback
This is a book that is written in a way even someone new to CFA can understand but at the same time has all the detail you could need. A very good book, well written and a must have for anyone doing CFA.
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Amazon.com:  3 reviews
11 of 11 people found the following review helpful
You will keep it on your desktop 12 Oct 2007
By Luis Arciniega - Published on Amazon.com
Format:Paperback
There are several books on SEM, many of them dedicate just one or two chapters to Confirmatory Factor Analysis (CFA), this book focus 100% on CFA, from the very basics, to the more advanced applications such as Multi groups CFA. I've found the book very helpful, it is sometimes more helpful, than the software's manual itself (e.g. EQS). Each section provides specific examples for the most known software packages (i.e. LISREL, Amos, MPLUS, EQS).
6 of 6 people found the following review helpful
At last a real book on CFA! 16 Sep 2007
By Audrey AS - Published on Amazon.com
Format:Hardcover|Amazon Verified Purchase
At last an unabridged book really dedicated to Confirmatory Factor Analysis with hands-on approach on how to use the most popular sotfwares. After a brief review of Exploratory Factor Analysis, is goes into every detail of CFA with examples that help. After having bought 3 other books, I finally got this one, the right one.
5 of 5 people found the following review helpful
Clear, thorough, endlessly useful 7 Jan 2009
By AC - Published on Amazon.com
Format:Hardcover
This book was a lifesaver while writing my dissertation, and it continues to be an essential resource as I expand my analyses and plan future studies. I had taken a course on latent variable analysis, but it wasn't until I read this book that I really understood how confirmatory factor analysis worked, how to figure out which measurement model is best, and how to talk about what I had done in a clear and correct way. I felt like an expert in CFA after reading this book and using it to pattern my own analysis. It maps out all the steps and provides excellent code examples for a wide range of programs (with more focus on mplus, which is what I was using). I recommend this book to everyone I know who might possibly do CFA or structural equation modeling someday.

If Dr. Brown wanted to write books on any other latent variable analyses, I would buy them in an instant.
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