Essentials of Structural Equation Modeling

Essentials of Structural Equation Modeling

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  • Author: Mustafa Emre Civelek
  • Publisher: Lulu.com
  • ISBN: 1609621298
  • Category : Business & Economics
  • Languages : en
  • Pages : 120

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.


Handbook of Structural Equation Modeling

Handbook of Structural Equation Modeling

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  • Author: Rick H. Hoyle
  • Publisher: Guilford Publications
  • ISBN: 1462544649
  • Category : Business & Economics
  • Languages : en
  • Pages : 801

"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"--


Longitudinal Structural Equation Modeling

Longitudinal Structural Equation Modeling

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  • Author: Todd D. Little
  • Publisher: Guilford Press
  • ISBN: 1462510272
  • Category : Psychology
  • Languages : en
  • Pages : 411

This book has been replaced by Longitudinal Structural Equation Modeling, Second Edition, ISBN 978-1-4625-5314-3.


Structural Equation Modeling

Structural Equation Modeling

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  • Author: David Kaplan
  • Publisher: SAGE Publications
  • ISBN: 148334259X
  • Category : Social Science
  • Languages : en
  • Pages : 306

Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face. Intended Audience While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.


Principles and Practice of Structural Equation Modeling

Principles and Practice of Structural Equation Modeling

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  • Author: Rex B. Kline
  • Publisher: Guilford Publications
  • ISBN: 1462523005
  • Category : Social Science
  • Languages : en
  • Pages : 554

This book has been replaced by Principles and Practice of Structural Equation Modeling, Fifth Edition, ISBN 978-1-4625-5191-0.


Structural Equation Modeling

Structural Equation Modeling

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  • Author: Natasha K. Bowen
  • Publisher: Oxford University Press
  • ISBN: 0195367626
  • Category : Political Science
  • Languages : en
  • Pages : 224

Structural Equation Modeling (SEM) has long been used in social work research, but the writing on the topic is typically fragmented and highly technical. This pocket guide fills a major gap in the literature by providing social work researchers and doctoral students with an accessible synthesis. The authors demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources. Examples from social work literature highlight best practices for the specification, estimation, interpretation, and modification of structural equation models. Unlike most sources on SEM, this book provides clear guidelines on how to evaluate SEM output and how to proceed when model fit is not acceptable.Oftentimes, confirmatory factor analysis and general structure modeling are the most flexible, powerful, and appropriate choices for social work data. Richly illustrated with figures, equations, matrices, and tables, this pocket guide empowers social workers with a set of defensible analysis strategies that allows for competent, confident use of SEM.


Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

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  • Author: Joseph F. Hair Jr.
  • Publisher: Springer Nature
  • ISBN: 3030805190
  • Category : Business & Economics
  • Languages : en
  • Pages : 208

Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.


Multivariate Analysis with LISREL

Multivariate Analysis with LISREL

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  • Author: Karl G. Jöreskog
  • Publisher: Springer
  • ISBN: 3319331531
  • Category : Mathematics
  • Languages : en
  • Pages : 561

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.


Structural Equation Modeling

Structural Equation Modeling

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  • Author: Rick H. Hoyle
  • Publisher: SAGE
  • ISBN: 9780803953185
  • Category : Psychology
  • Languages : en
  • Pages : 316

Reviews some of the major issues facing researchers who wish to use structural equation modeling. This title includes individual chapters that present developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data.


Basics of Structural Equation Modeling

Basics of Structural Equation Modeling

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  • Author: Geoffrey M. Maruyama
  • Publisher: SAGE Publications
  • ISBN: 150632035X
  • Category : Social Science
  • Languages : en
  • Pages : 328

With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data.