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[Timothy A Brown]Confirmatory Factor Analysis for Applied Research, 2 edition(pdf){Zzzzz}

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Description

 							
  
  
  
  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.
  
  Publisher: The Guilford Press; Second Edition edition (January 8, 2015)
  Language: English
  ISBN-10: 1462515363
  ISBN-13: 978-1462515363
  
  Editorial Reviews
 
Review
  "Brown's writing is excellent; this book does a clearer and better job of explaining CFA concepts than
any other I have read. It has had a very positive impact on the quality of applied CFA studies in the social and
behavioral sciences. I will continue to use the second edition in my graduate measurement theory course; it enables my
students to greatly improve the quality of their dissertation research. This is the best book I've seen for providing
graduate students with the skills they need to develop and evaluate measures of psychological constructs."--G. Leonard
Burns, PhD, Department of Psychology, Washington State University
  
  "I am a big fan of this book. When
something goes wrong in SEM, it is almost always due to a faulty measurement model, so students need to have a thorough
understanding of latent trait measurement models before learning how to evaluate structural models. That is why this
book is so important. My students regularly comment on how accessible the text is. I very much like the examples of
study results, which students can use as templates for their own reports. The numerically worked examples throughout are
extremely helpful at demystifying the process."--Lesa Hoffman, PhD, Institute for Lifespan Studies, University of
Kansas
  
  "This book occupies a unique and important position in the field. It describes the use of CFA to
address a wide range of important social science research questions that are too often ignored or underdeveloped in
books on structural equation modeling. The text helps readers understand the nuances of CFA in a way that is deep yet
incredibly accessible. I highly recommend this book to students and experienced social scientists interested in applying
this powerful approach in their research."--Noel A. Card, PhD, Department of Educational Psychology, University of
Connecticut
  
  "The most comprehensive reference text on CFA for experienced researchers. Other texts
typically devote a chapter or two to the subject, but Brown’s coverage is wide and deep. Frankly, what gives this
book value to me is that it is a reference text that can be used for instruction. Aided by clear examples, simplified
tables, and helpful visual depictions, readers easily gain an understanding of how to run popular modeling software and
correctly interpret the output. Perhaps one of the finest jewels in this book is the explanation of non-positive
definite matrices, the bane of LISREL users. 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. The book
provides an invaluable resource for applied researchers concerning concepts, procedures, and problems in CFA, as well as
how to interpret and report analysis results. 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. The Appendices at the
end of several chapters expand on many technical points the reader might fail to grasp otherwise."--James G. Anderson,
PhD, Department of Sociology, Purdue University
  
  "The book does an excellent job of walking through the
steps in an analysis. It is wonderfully user friendly in the way it presents each step, discusses major decisions to be
made, and presents some code and output. Not only do I think this is the best book out there for learning CFA, but I
also think it is a fantastic way to learn introductory structural equation modeling methods."--Scott J. Peters, PhD,
Department of Educational Foundations, University of Wisconsin-Whitewater
  
  "A strength of this book is the
style of the author's presentation. Many important concepts are explained in plain language, rather than by mathematical
formula. The book reads as though you were listening to a lecture. It provides the learner with an extensive
understanding of the theory and applications of CFA. I also strongly recommend this book to practitioners who are in
need of a comprehensive reference for better applications of CFA."--Akihito Kamata, PhD, Department of Education Policy
and Leadership and Department of Psychology, Southern Methodist University
  About the Author
  Timothy
A. Brown, PsyD, is Professor in the Department of Psychology and Director of Research at the Center for Anxiety and
Related Disorders at Boston University. He has published extensively in the areas of the classification of anxiety and
mood disorders, the psychopathology and risk factors of emotional disorders, psychometrics, and applied research
methods. In addition to conducting his own grant-supported research, Dr. Brown serves as a statistical investigator or
consultant on numerous federally funded research projects. He has been on the editorial boards of several scientific
journals, including a longstanding appointment as Associate Editor of the Journal of Abnormal Psychology.
  
 
 						

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