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Více informací o knize Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

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Anotace knihy

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.

Parametry knihy

• Plný název: Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
• Autor: Joseph F. Hair Jr., Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 197
• EAN: 9783030805180
• ISBN: 3030805182
• ID: 36649972
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 462 g
• Rozměry: 160 × 242 × 20 mm
• Datum vydání: 04. November 2021

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