Erschienen: 04.11.2021 Abbildung von Hair Jr. / Hult | Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R | 1. Auflage | 2021 |

Hair Jr. / Hult / Ringle

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

A Workbook

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53,49 €

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Buch. Hardcover

1st ed. 2021. 2021

xiv, 197 S. 26 s/w-Abbildungen, 51 Farbabbildungen, Bibliographien.

In englischer Sprache

Springer. ISBN 978-3-030-80518-0

Format (B x L): 15,5 x 23,5 cm

Gewicht: 476 g

Das Werk ist Teil der Reihe: Classroom Companion: Business


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.

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