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eBook Confirmatory Factor Analysis for Applied Research, First Edition (Methodology in the Social Sciences) epub

by Timothy A. Brown

eBook Confirmatory Factor Analysis for Applied Research, First Edition (Methodology in the Social Sciences) epub
  • ISBN: 1593852746
  • Author: Timothy A. Brown
  • Genre: Other
  • Subcategory: Medicine & Health Sciences
  • Language: English
  • Publisher: The Guilford Press; First edition (March 30, 2006)
  • Pages: 475 pages
  • ePUB size: 1734 kb
  • FB2 size 1423 kb
  • Formats lrf lit lrf mobi


p. cm. - (Methodology in the social sciences) Includes bibliographical references and index.

p. ISBN-13: 978-1-59385-274-0 (pb. ISBN-10: 1-59385-274-6 (pb. ISBN-13: 978-1-59385-275-7 (hardcover) ISBN-10: 1-59385-275-4 (hardcover) 1. Factor analysis.

Series: Methodology in the Social Sciences.

An especially valuable feature is the many detailed examples that are worked out in detail and presented along with syntax and output from leading software packages. Series: Methodology in the Social Sciences. Paperback: 462 pages.

The book does an excellent job of walking through the steps in an analysis. The book does an excellent job of walking through the steps in an analysis.

I also find the thread throughout the book on explaining equivalent models very important.

"Brown''s writing is excellent; this book does a clearer and better job of explaining CFA concepts than any other I have read. I also find the thread throughout the book on explaining equivalent models very important. -Randall MacIntosh, PhD, Professor of Sociology, California State University, Sacramento "I highly recommend this book to colleagues and students who teach and apply structural equation modeling.

Emphasizing practical and theoretical aspects of confirmatory factor analysis (CFA) rather than mathematics or formulas, Timothy A. Brown uses rich examples derived from the psychology, management, and sociology literatures to provide in-depth treatment of the concepts, procedures. 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.

Methodology in the Social Sciences). by. Timothy A. Brown. The book definitely Needs an updated version now that 6 years have passed since its publication. Lists with This Book. This book is not yet featured on Listopia.

Bestselling Text and Reference.

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August 10, 2010 History. found in the catalog.

August 10, 2010 History. Published March 22, 2006 by The Guilford Press.

Uses of Confirmatory Factor Analysis

Uses of Confirmatory Factor Analysis. Psychometric Evaluation of Test Instruments Construct Validation.

Emphasizing practical and theoretical aspects of confirmatory factor analysis (CFA) rather than mathematics or formulas, Timothy A. 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 tables that outline the procedures, the text shows readers how to conduct exploratory factor analysis (EFA) and understand similarities to and differences from 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 necessary sample sizes, and new CFA modeling possibilities, including multilevel factor models and factor mixture models. Special features include a companion Web page offering data and program syntax files for many of the research examples so that readers can practice the procedures described in the book with real data. The Web page also includes links to additional CFA-related resources.
Comments: (7)
Doath
A very helpful text for connecting my graduate instruction in CFA in 1994 to today's conceptual issues and the practical problems of running the analyses. The annotated computer input program file examples helped me link up LISREL 2 with where the analyses are today in LISREL 9.1. In the 20 years, common problems are now able to easily addressed with computer software and that's perfect for me: a researcher who is familiar with the major issues but needs to "brush up" on newer approaches to the older, vexing problems. The later chapters shed more light on higher order and bi-level factor models, which were not even attempted in earlier texts of the day. The earlier chapters present a more systematic presentation of the basic tenets of CFA. This text has already been of great use to me as I seek to use CFA to address applied issues in to the measurement of human performance using video simulation in the field of education.
Mayno
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.
Modred
I love this book. The first edition is one of the most dog-eared books on my shelf. I routinely recommend it to doctoral students and colleagues just getting started in trying to figure out the details of exploratory and confirmatory factor analysis. The second edition is even better, with expanded coverage of emerging methodologies like Bayesian estimation of CFA models, exploratory structural equation modeling, etc... Highly recommended.
ndup
Helpful.
Perongafa
Needed it for a stats course, but it is a good book.
Uris
Confirmatory Factor Analysis is extremely useful analytical technique, but it's not for the faint of heart. Timothy Brown has a number of years of experience as a researcher and as a professor, and provides a thorough explanation of the theory and context-rich examples in this book. Additionally, there is a website with datasets that the user can access to try out examples as an additional way to learn the material. This book is helpful for anyone who is interested in learning more about Confirmatory Factor Analysis.
Hystana
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.
Easily one of the best books in CFA. In the begining you might get a little bit anxious about going into the guidelines for fit assessment, but when you get there you already feel like having a very strong basis that the author provides through the begining of the book, It is really amazing.
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