Confirmatory Factor Analysis for Applied Research, Second Edition PDF Download
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Author: Timothy A. Brown
Publisher: Guilford Publications
ISBN: 146251779X
Category : Science
Languages : en
Pages : 482
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Book Description
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. 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 ...
Author: Timothy A. Brown
Publisher: Guilford Publications
ISBN: 146251779X
Category : Science
Languages : en
Pages : 482
Get Book Here
Book Description
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. 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 ...
Author: Stanley A Mulaik
Publisher: CRC Press
ISBN: 1420099817
Category : Mathematics
Languages : en
Pages : 550
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Book Description
Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling. This long-awaited e
Author: Rick H. Hoyle
Publisher: Guilford Publications
ISBN: 1462544649
Category : Business & Economics
Languages : en
Pages : 801
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Book Description
"This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results"--
Author: Craig Wells
Publisher: Cambridge University Press
ISBN: 1108485227
Category : Education
Languages : en
Pages : 417
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Book Description
This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.
Author: Larry Hatcher
Publisher: SAS Institute
ISBN: 1612903878
Category : Computers
Languages : en
Pages : 444
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Book Description
Annotation Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easy-to-understand guide makes SEM accessible to all userseven those whose training in statistics is limited or who have never used SAS. It gently guides users through the basics of using SAS and shows how to perform some of the most sophisticated data-analysis procedures used by researchers: exploratory factor analysis, path analysis, confirmatory factor analysis, and structural equation modeling. It shows how to perform analyses with user-friendly PROC CALIS, and offers solutions for problems often encountered in real-world research. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.
Author: Barbara M. Byrne
Publisher: Routledge
ISBN: 1136663460
Category : Psychology
Languages : en
Pages : 431
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Book Description
Modeled after Barbara Byrne’s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available under "Supplementary Material" below The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.
Author: J. C. Barnes
Publisher: John Wiley & Sons
ISBN: 1119110726
Category : Social Science
Languages : de
Pages : 967
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Book Description
Das umfassendste Referenzwerk zu Forschungsdesign und -methoden in Kriminologie und Strafjustiz Die Encyclopedia of Research Methods in Criminology and Criminal Justice bietet einen umfassenden Überblick darüber, welche Forschungsmethoden und statistischen Verfahren in der Kriminologie und den Strafjustizsystemen rund um die Welt bevorzugt zur Anwendung kommen. Das Werk enthält Beiträge von führenden Wissenschaftlern und Fachleuten auf dem Gebiet und vermittelt damit einen gründlichen Einblick in die Techniken, die heutzutage verwendet werden, um drängende Fragen in der Kriminologie und Strafjustiz zu beantworten. Mit den Beiträgen zahlreicher unterschiedlicher Autoren vermittelt die Encyclopedia grundlegende Informationen über Forschungsdesigns, die auf qualitativen und quantitativen Methoden beruhen. Dargestellt werden zudem beliebte Datensätze und die zentralen Quellen staatlicher Statistiken. Zugleich befassen sich die Beiträge mit einem breiten Spektrum an Themen, u.a. mit der neuesten Forschung zum Zusammenhang zwischen Waffen und Kriminalität, der Theorie der rationalen Entscheidung und der Nutzung von Technologien wie der Geodatenkartierung als Mittel zur Verbrechensbekämpfung. Das unverzichtbare Nachschlagewerk bietet: - einen umfassenden Überblick über Forschungsdesign, Forschungsmethoden und statistische Verfahren im internationalen Vergleich - Beiträge von führenden Fachleuten auf dem Gebiet - Daten zur Kriminologie und Strafjustiz von Cambridge bis Chicago - Informationen über die Todesstrafe, häusliche Gewalt, die Kriminalwissenschaft und vieles mehr - Ansätze, um Verbrechen besser zu verstehen, zu erklären und zu verhindern The Encyclopedia of Research Methods in Criminology and Criminal Justice richtet sich an Studierende, Promovierende und Wissenschaftler und ist damit das erste Nachschlagewerk, das einen umfassenden Überblick über dieses wichtige Thema vermittelt.
Author: Timothy A. Brown
Publisher: Guilford Publications
ISBN: 1462517811
Category : Psychology
Languages : en
Pages : 483
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Book 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.
Author: Richard A. Reyment
Publisher: Cambridge University Press
ISBN: 9780521575560
Category : Mathematics
Languages : en
Pages : 388
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Book Description
This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on application rather than theory.
Author: Howard E.A. Tinsley
Publisher: Academic Press
ISBN: 0080533566
Category : Mathematics
Languages : en
Pages : 751
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Book Description
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.
