Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R - A Workbook (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Classroom Companion: Business
Release date:	November 2021
First published:	2021
Authors:	Joseph F. Hair Jr • G.Tomas M. Hult • Christian M. Ringle • Marko Sarstedt • Nicholas P. Danks • Soumya Ray
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	197
Edition:	1st ed. 2021
ISBN-13:	978-3-03-080518-0
Categories:	Books > Business & Economics > Economics > Econometrics > General Books > Business & Economics > Business & management > Sales & marketing > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	3-03-080518-2
Barcode:	9783030805180

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