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Confirmatory Factor Analysis for Applied Research, Second Edition (Methodology in the Social Sciences) de Timothy A. Brown

Descripción - Críticas '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 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 Reseña del editor 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 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. Biografía del autor 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.

Detalles del Libro

Name: Confirmatory Factor Analysis for Applied Research, Second Edition (Methodology in the Social Sciences)
Autor: Timothy A. Brown
Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
Tamaño del archivo: 9 MB
Tipos de archivo: PDF Document
Descargada: 637 times
Idioma: Español
Archivos de estado: AVAILABLE

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Confirmatory Factor Analysis for Applied Research by ~ 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.

Confirmatory Factor Analysis for Applied Research, Second ~ 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.

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A Review of Confirmatory Factor Analysis for Applied ~ Request PDF / On Feb 29, 2016, Augustin Kelava published A Review of Confirmatory Factor Analysis for Applied Research (Second Edition) / Find, read and cite all the research you need on ResearchGate

Sample Chapter: Confirmatory Factor Analysis for Applied ~ 2 CONFIRMATORY FACTOR ANALYSIS FOR APPLIED RESEARCh more factors), the pattern of factor loadings supported by CFA will designate how a test may be scored by using subscales; that is, the number of factors is indicative of the number of subscales, and the pattern of item–factor relationships (which items load on

Confirmatory Factor Analysis for Applied Research (Book ~ Get this from a library! Confirmatory Factor Analysis for Applied Research. [Timothy A Brown;] -- This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. .

Confirmatory Factor Analysis - an overview / ScienceDirect ~ Confirmatory factor analysis has become established as an important analysis tool for many areas of the social and behavioral sciences. It belongs to the family of structural equation modeling techniques that allow for the investigation of causal relations among latent and observed variables in a priori specified, theory-derived models.

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Confirmatory Factor Analysis for Applied Research ~ 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 .