Structural Equation Modeling With Eqs

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Structural Equation Modeling With Eqs And Eqs Windows

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Author : Barbara M. Byrne
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1994-02-28

Structural Equation Modeling With Eqs And Eqs Windows written by Barbara M. Byrne and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-02-28 with Mathematics categories.

"The strongest attribute of Barbara M. Byrne′s book is her superb organization both across chapters and within chapters. . . . Aside from the logical layout of chapters, a great deal of helpful organization exists on many other levels. After making readers comfortable with the details of the input and output files, Byrne gradually weans us away from the masses of information that would otherwise be redundant; she does, however, remind us of key points from time to time, almost anticipating readers′ questions. . . . Organization within chapters is also quite sound. . . . Her EQS input files are neatly structured so that indicators of a common factor are indented to the same degree. . . . All application chapters nicely conclude with references to other examples of the application under study. . . . As should be obvious by now, I was fairly pleased with what I found in Byrne′s book. . . . As the book unfolds she does a nice job of addressing many topics within the context of her applications. . . . It has strong value as a tool for teachers and practitioners." --Gregory R. Hancock in Structural Equation Modeling "Several features of the illustrations will be beneficial to SEM novices. The EQS programming and interpretation are presented clearly and in detail so that readers should have little trouble applying the concepts in their own research. An especially nice feature is that, as is usual with ′′real′′ data, things ′′go wrong.′′ . . . Seeing realistic rather than idealistic applications is good preparation for practicing and interpreting SEM. . . . The major benefit of the books to experienced modelers who are new to EQS is the convenience of having detailed examples to follow. None of Barbara M. Byrne′s applications involve ′′tricks′′ or steps that would not be clear from the EQS and EQS/Windows manuals. . . . Byrne′s step-by-step detail and integrated discussion of data screening and model respecification can reduce the time spent fixing minor errors in program setups or searching through the manuals for desired options. . . . The book is a fine production. . . . Newcomers to SEM who want to use EQS or EQS/Windows would benefit greatly from this book, either for self-teaching or as a supplemental text in a course. Experienced modelers will benefit less, but spending a few hours with the book will move them well along the EQS learning curve. Byrne intends her books ′′to provide a practical guide to SEM using the EQS approach.′′ She succeeds admirably." --George R. Franke in Journal of Marketing Research "For each chapter, the author has been very successful in conveying complicated concepts involved in structural equation modeling with explanations that are easy to understand for users with little background in SEM. The examples used in this book represent a broad range of research topics in the area of SEM. The author also provides precise linkage between the null hypothesis to be tested, the specific setup of EQS programs, and clear explanations of the results. Beginners of SEM can benefit substantially from this down-to-earth approach." --Chih-Ping Chou, University of Southern California "Byrne′s book is a delightfully written, systematic approach to the practical use of structural equation modeling in research. It begins with first principles and advances systematically through intermediate and advanced topics, introducing at each step the theory that is relevant as well as the practical models needed to implement these ideas on real models used in actual research contexts. The reader can then easily modify the examples for their own research since the types of models discussed will be relevant in many research contexts. Mathematical and statistical details are minimized so that the book should appeal to a broad audience. The book is also timely, being the first text to show how statistics generally, and modeling in particular, can be fun in the Windows environment." --Peter M. Bentler, University of California, Los Angeles Researchers and students who want a less technical alternative to the EQS manual will find exactly what they′re looking for in this practical volume. Designed to help beginners estimate and test structural equation modeling (SEM) using the EQS approach, this practical volume clearly explains and demonstrates a wide variety of SEM/EQS applications that include both partial factor analytic and full latent variable models. Beginning with an overview of the basic concepts of SEM and the EQS program, the author carefully works through applications starting with the easiest, a single sample approach, through to more advanced applications, such as a multi-sample approach. The book concludes with a section on using EQS for modeling with Windows.

Basic Principles Of Structural Equation Modeling

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Author : Ralph O. Mueller
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-06-04

Basic Principles Of Structural Equation Modeling written by Ralph O. Mueller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-06-04 with Social Science categories.

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.

Structural Equation Modeling With Eqs And Eqs Windows

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Author : Barbara M. Byrne
language : en
Publisher: SAGE
Release Date : 1994-02-28

Structural Equation Modeling With Eqs And Eqs Windows written by Barbara M. Byrne and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-02-28 with Mathematics categories.

Designed to help beginners estimate and test structural equation modeling (SEM) using the EQS approach, this book demonstrates a variety of SEM//EQS applications that include both partial factor analytic and full latent variable models. Beginning with an overview of the basic concepts of SEM and the EQS program, the author works through applications starting with a single sample approach to more advanced applications, such as a multi-sample approach. The book concludes with a section on using EQS for modeling with Windows.

Introduction To Structural Equation Modeling Using Ibm Spss Statistics And Amos

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Author : Niels Blunch
language : en
Publisher: SAGE
Release Date : 2012-11-09

Introduction To Structural Equation Modeling Using Ibm Spss Statistics And Amos written by Niels Blunch and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-09 with Reference categories.

This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark

Structural Equation Modeling With Amos

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Author : Barbara M. Byrne
language : en
Publisher: Psychology Press
Release Date : 2001-04-01

Structural Equation Modeling With Amos written by Barbara M. Byrne and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-04-01 with Psychology categories.

A non-mathematical intro to basic concepts underlying SEM with AMOS applications. An ideal companion to the AMOS manual and any stats book incorporating SEM.

A First Course In Structural Equation Modeling

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Author : Tenko Raykov
language : en
Publisher: Routledge
Release Date : 2012-08-21

A First Course In Structural Equation Modeling written by Tenko Raykov and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-21 with Business & Economics categories.

In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one. Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software. Highlights of the Second Edition include: • Review of latent change (growth) analysis models at an introductory level • Coverage of the popular Mplus program • Updated examples of LISREL and EQS • Downloadable resources that contains all of the text’s LISREL, EQS, and Mplus examples. A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.

Structural Equation Modeling With Eqs

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Author : Barbara M. Byrne
language : en
Publisher: Routledge
Release Date : 2013-04-15

Structural Equation Modeling With Eqs written by Barbara M. Byrne and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-15 with Education categories.

Readers who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models. Written in a "user-friendly" style, the author "walks" the reader through the varied steps involved in the process of testing SEM models: model specification and estimation, assessment of model fit, EQS output, and interpretation of findings. Each of the book's applications is accompanied by: a statement of the hypothesis being tested, a schematic representation of the model, explanations of the EQS input and output files, tips on how to use the pull-down menus, and the data file upon which the application is based. The book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The new edition features: many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multigroup model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model; a CD enclosed with the book that includes all application data; vignettes illustrating procedural and/or data management tasks; and description of how to build models both interactively using the BUILD-EQ interface and graphically using the EQS Diagrammer.

Structural Equation Modeling

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Author : Gregory R. Hancock
language : en
Publisher: IAP
Release Date : 2013-03-01

Structural Equation Modeling written by Gregory R. Hancock and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-01 with Education categories.

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.

Structural Equation Modeling

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Author : Bruce H. Pugesek
language : en
Publisher: Cambridge University Press
Release Date : 2003-01-23

Structural Equation Modeling written by Bruce H. Pugesek and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-23 with Nature categories.

Structural equation modelling (SEM) is a technique that is used to estimate, analyse and test models that specify relationships among variables. The ability to conduct such analyses is essential for many problems in ecology and evolutionary biology. This book begins by explaining the theory behind the statistical methodology, including chapters on conceptual issues, the implementation of an SEM study and the history of the development of SEM. The second section provides examples of analyses on biological data including multi-group models, means models, P-technique and time-series. The final section of the book deals with computer applications and contrasts three popular SEM software packages. Aimed specifically at biological researchers and graduate students, this book will serve as valuable resource for both learning and teaching the SEM methodology. Moreover, data sets and programs that are presented in the book can also be downloaded from a website to assist the learning process.

Basic Principles Of Structural Equation Modeling

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Author : Ralph O. Mueller
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Basic Principles Of Structural Equation Modeling written by Ralph O. Mueller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Social Science categories.

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.