Structural Equation Modeling Using R Sas

Author : Ding-Geng Chen
Publisher :
ISBN 13 : 9781003365860
Total Pages : 0 pages
Book Rating : 4.68/5 ( download)

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Download or read book Structural Equation Modeling Using R/SAS written by Ding-Geng Chen and published by . This book was released on 2023-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "There has been considerable attention to making the methodologies of structural equation modeling available to researchers, practitioners, and students along with commonly used software. Structural Equation Modelling Using R/SAS aims to bring it all together to provide a concise point-of-reference for the most commonly used structural equation modeling from the fundamental level to the advanced level. This book is intended to contribute to the rapid development in structural equation modeling and its applications to real-world data. Straightforward explanations of the statistical theory and models related to structural equation models are provided, using a compilation of a variety of publicly available data, to provide an illustration of data analytics in a step-by-step fashion using commonly used statistical software of R and SAS. This book is appropriate for anyone who is interested in learning and practicing structural equation modeling, especially in using R and SAS. It is useful for applied statisticians, data scientists and practitioners, applied statistical analysts and scientists in public health, and academic researchers and graduate students in statistics, whilst also being of use to R&D professionals/practitioners in industry and governmental agencies"--

Author : Norm O'Rourke, Ph.D., R.Psych.
Publisher : SAS Institute
ISBN 13 : 1629592447
Total Pages : 444 pages
Book Rating : 4.42/5 ( download)

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Download or read book A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition written by Norm O'Rourke, Ph.D., R.Psych. and published by SAS Institute. This book was released on 2013-03-23 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-understand guide makes SEM accessible to all users. 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 : Ding-Geng Chen
Publisher : CRC Press
ISBN 13 : 1000920887
Total Pages : 429 pages
Book Rating : 4.88/5 ( download)

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Download or read book Structural Equation Modeling Using R/SAS written by Ding-Geng Chen and published by CRC Press. This book was released on 2023-08-21 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been considerable attention to making the methodologies of structural equation modeling available to researchers, practitioners, and students along with commonly used software. Structural Equation Modelling Using R/SAS aims to bring it all together to provide a concise point-of-reference for the most commonly used structural equation modeling from the fundamental level to the advanced level. This book is intended to contribute to the rapid development in structural equation modeling and its applications to real-world data. Straightforward explanations of the statistical theory and models related to structural equation models are provided, using a compilation of a variety of publicly available data, to provide an illustration of data analytics in a step-by-step fashion using commonly used statistical software of R and SAS. This book is appropriate for anyone who is interested in learning and practicing structural equation modeling, especially in using R and SAS. It is useful for applied statisticians, data scientists and practitioners, applied statistical analysts and scientists in public health, and academic researchers and graduate students in statistics, whilst also being of use to R&D professionals/practitioners in industry and governmental agencies. Key Features: Extensive compilation of commonly used structural equation models and methods from fundamental to advanced levels Straightforward explanations of the theory related to the structural equation models Compilation of a variety of publicly available data Step-by-step illustrations of data analysis using commonly used statistical software R and SAS Data and computer programs are available for readers to replicate and implement the new methods to better understand the book contents and for future applications Handbook for applied statisticians and practitioners

Author : Ph. D. Norm O'Rourke
Publisher : SAS Institute
ISBN 13 : 9781642952919
Total Pages : 444 pages
Book Rating : 4.15/5 ( download)

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Download or read book A Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition written by Ph. D. Norm O'Rourke and published by SAS Institute. This book was released on 2013-03-23 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 users, even 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 : Ken Kleinman
Publisher : CRC Press
ISBN 13 : 1420070592
Total Pages : 325 pages
Book Rating : 4.90/5 ( download)

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Download or read book SAS and R written by Ken Kleinman and published by CRC Press. This book was released on 2009-07-21 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id

Author : Norm O'Rourke
Publisher : SAS Institute
ISBN 13 : 1590474171
Total Pages : 552 pages
Book Rating : 4.74/5 ( download)

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Download or read book A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics written by Norm O'Rourke and published by SAS Institute. This book was released on 2005 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing practice data inspired by actual studies, this book explains how to choose the right statistic, understand the assumptions underlying the procedure, prepare an SAS program for an analysis, interpret the output, and summarize the analysis and results according to the format prescribed in the Publication Manual of the American Psychological Association.

Author : Karl G. Jöreskog
Publisher : Springer
ISBN 13 : 3319331531
Total Pages : 557 pages
Book Rating : 4.39/5 ( download)

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Download or read book Multivariate Analysis with LISREL written by Karl G. Jöreskog and published by Springer. This book was released on 2016-10-17 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Joseph F. Hair Jr.
Publisher : Springer Nature
ISBN 13 : 3030805190
Total Pages : 208 pages
Book Rating : 4.97/5 ( download)

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Download or read book Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R written by Joseph F. Hair Jr. and published by Springer Nature. This book was released on 2021-11-03 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Larry Hatcher
Publisher :
ISBN 13 :
Total Pages : 588 pages
Book Rating : 4.27/5 ( download)

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Download or read book A Step-by-step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling written by Larry Hatcher and published by . This book was released on 1994 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Joseph F. Hair Jr.
Publisher : Springer
ISBN 13 : 9783030805180
Total Pages : 197 pages
Book Rating : 4.82/5 ( download)

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Download or read book Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R written by Joseph F. Hair Jr. and published by Springer. This book was released on 2021-11-04 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.