Principles and Practice of Structural Equation Modeling PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Principles and Practice of Structural Equation Modeling PDF full book. Access full book title Principles and Practice of Structural Equation Modeling by Rex B. Kline. Download full books in PDF and EPUB format.
Author: Rex B. Kline
Publisher: Guilford Publications
ISBN: 1462523005
Category : Social Science
Languages : en
Pages : 554
Get Book Here
Book Description
This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.
Author: Rex B. Kline
Publisher: Guilford Publications
ISBN: 1462523005
Category : Social Science
Languages : en
Pages : 554
Get Book Here
Book Description
This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.
Author: Douglas D. Gunzler
Publisher: CRC Press
ISBN: 1351329715
Category : Mathematics
Languages : en
Pages : 352
Get Book Here
Book Description
Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.
Author: Barbara M. Byrne
Publisher: Routledge
ISBN: 1136663460
Category : Psychology
Languages : en
Pages : 431
Get Book Here
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: Rex B. Kline
Publisher: Guilford Publication
ISBN: 9781572306905
Category : Psychology
Languages : en
Pages : 366
Get Book Here
Book Description
This book ist intended to serve as a guide to the priciples, assumptions, strenghts, limitations, and applications of structural equation modeling (SEM) for researchers and students who do not have extensive quantitative backgrounds. Some familiarity with basic concepts such as correlation is assumed, but higher levels of statistical knowledge are not requiered. Accordingly, the presentation is conceptually rather than mathematically oriented, the use of formulas and symbols is kept to a minimum, and many examples are offered of the application of SEM to a wide variety of research problems in psychology, education, and health sciences, among other areas. This book also has a home page on the Internet (www.guilford.com --> Kline).
Author: Gregory R. Hancock
Publisher: IAP
ISBN: 1623962463
Category : Education
Languages : en
Pages : 702
Get Book Here
Book Description
Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians This volume is the second edition of Hancock and Mueller’s highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.
Author: Todd D. Little
Publisher: Guilford Press
ISBN: 1462510272
Category : Psychology
Languages : en
Pages : 411
Get Book Here
Book Description
This book has been replaced by Longitudinal Structural Equation Modeling, Second Edition, ISBN 978-1-4625-5314-3.
Author: Mustafa Emre Civelek
Publisher: Lulu.com
ISBN: 1609621298
Category : Business & Economics
Languages : en
Pages : 120
Get Book Here
Book Description
Structural Equation Modeling is a statistical method increasingly used in scientific studies in the fields of Social Sciences. It is currently a preferred analysis method, especially in doctoral dissertations and academic researches. Many universities do not include this method in the curriculum, so students and scholars try to solve these problems using books and internet resources. This book aims to guide the researcher in a way that is free from math expressions. It teaches the steps of a research program using structured equality modeling practically. For students writing theses and scholars preparing academic articles, this book aims to analyze systematically the methodology of studies conducted using structural equation modeling methods in the social sciences. In as simple language as possible, it conveys basic information. It consists of two parts: the first gives basic concepts of structural equation modeling, and the second gives examples of applications.
Author: K. Strang
Publisher: Palgrave Macmillan
ISBN: 9781137379924
Category : Computers
Languages : en
Pages : 0
Get Book Here
Book Description
The Palgrave Handbook of Research Design in Business and Management uses a new state-of-the-art research design typology model to guide researchers in creating the blueprints for their experiments. By focusing on theory and cutting-edge empirical best-practices, this handbook utilizes visual techniques to appease all learning styles.
Author: Barbara M. Byrne
Publisher: Psychology Press
ISBN: 1135667683
Category : Psychology
Languages : en
Pages : 348
Get Book Here
Book Description
This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and appli.
Author: Ralph O. Mueller
Publisher: Springer Science & Business Media
ISBN: 1461239745
Category : Social Science
Languages : en
Pages : 252
Get Book Here
Book Description
During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research.
