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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R - A Workbook (Hardcover, 1st ed. 2021) Loot Price: R804
Discovery Miles 8 040
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R - A Workbook (Hardcover, 1st ed. 2021): Joseph F. Hair Jr,...

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

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

Series: Classroom Companion: Business

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Loot Price R804 Discovery Miles 8 040 | Repayment Terms: R75 pm x 12*

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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
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LSN: 3-03-080518-2
Barcode: 9783030805180

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