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Author Hair, Joseph F., Jr., 1944- author.

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
Published Cham, Switzerland : Springer, 2021
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Description 1 online resource (xiv, 197 pages) : illustrations (some color)
Series Classroom Companion: Business, 2662-2874
Classroom companion. Business. 2662-2874
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
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
Notes Includes index
Online resource; title from PDF title page (SpringerLink, viewed November 11, 2021)
Subject Least squares.
Structural equation modeling.
Finance -- Mathematical models.
R (Computer program language)
Finance -- Mathematical models
Least squares
R (Computer program language)
Structural equation modeling
Form Electronic book
Author Hult, G. Tomas M., author
Ringle, Christian M., author
Sarstedt, Marko, author
Danks, Nicholas P., author
Ray, Soumya, author
ISBN 9783030805197
3030805190