Partial least squares structural equation modeling (PLS-SEM) using R : a workbook / Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray.
2021
QA275
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Title
Partial least squares structural equation modeling (PLS-SEM) using R : a workbook / Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray.
ISBN
9783030805197 (electronic bk.)
3030805190 (electronic bk.)
9783030805180 (print)
3030805190 (electronic bk.)
9783030805180 (print)
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (xiv, 197 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-80519-7 doi
Call Number
QA275
Dewey Decimal Classification
511/.42
Summary
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
Note
Includes index.
Access Note
Open access.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 11, 2021).
Added Author
Hult, G. Tomas M., author
Ringle, Christian M., author
Sarstedt, Marko, author
Danks, Nicholas P., author
Ray, Soumya, author
Ringle, Christian M., author
Sarstedt, Marko, author
Danks, Nicholas P., author
Ray, Soumya, author
Series
Classroom companion. Business. 2662-2874
Available in Other Form
Print version: 9783030805180
Print version: 9783030805203
Print version: 9783030805203
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Table of Contents
An Introduction to Structural Equation Modeling
Introduction to R and RStudio
Introduction to SEMinR
Evaluation of Reflective Measurement Models
Evaluation of Formative Measurement Models
Evaluation of the Structural Model
Mediation Analysis
Moderation Analysis.
Introduction to R and RStudio
Introduction to SEMinR
Evaluation of Reflective Measurement Models
Evaluation of Formative Measurement Models
Evaluation of the Structural Model
Mediation Analysis
Moderation Analysis.