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

82,48 
82,48 
2025-07-31 82.4800 InStock
Nemokamas pristatymas į paštomatus per 18-22 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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 ofthumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

Informacija

Autorius: Joseph F. Hair Jr., G. Tomas M. Hult, Soumya Ray, Marko Sarstedt, Nicholas P. Danks, Christian M. Ringle,
Serija: Classroom Companion: Business
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2021
Knygos puslapių skaičius: 212
ISBN-10: 3030805182
ISBN-13: 9783030805180
Formatas: Knyga kietu viršeliu
Kalba: Anglų
Žanras: Econometrics and economic statistics

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