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.
Hair, Joseph F., Jr., 1944- author.; Hult, G. Tomas M., author; Ringle, Christian M., author; Sarstedt, Marko, author; Danks, Nicholas P., author; Ray, Soumya, author
2021
QA275
Available Online

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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.
Author Hair, Joseph F., Jr., 1944- author.
ISBN 9783030805197 (electronic bk.)
3030805190 (electronic bk.)
9783030805180 (print)
DOI https://doi.org/10.1007/978-3-030-80519-7
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
Series Classroom companion. Business. 2662-2874
Available in Other Form Print version: 9783030805180
Print version: 9783030805203
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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