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

Name: Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Brand: Springer Nature Switzerland AG
SKU: 9783030805180
Price: 30.24 EUR
Availability: InStock

Autor: Joseph F. Hair Jr., Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray

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Väzba: Pevná

Vydavateľ: Springer Nature Switzerland AG

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Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for anal...

Informácie o knihe

Autor

Joseph F. Hair Jr., Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2021

Stránok

197

EAN

9783030805180

ISBN

3030805182

Enbook ID

36649972

Vydavateľ

Springer Nature Switzerland AG

Hmotnosť

462

Rozmery

242 x 160 x 20

Kompletný popis

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

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