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

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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Informasi Detail
Judul Seri
-
No. Panggil
002
Penerbit
USA : Springer International Publishing.,
Deskripsi Fisik
-
Bahasa
English
ISBN/ISSN
978-3-030-80519-7
Klasifikasi
002
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
Statistics
Electronic books
Management science
Business & Economics / Marketing / General
Business & Economics / Sales & Selling / General
Marketing
Computers / Mathematical & Statistical Software
Business & Economics / Econometrics
Econometrics
Finance -- Mathematical models
Least squares
R (Computer program language)
Statistics -- Computer programs
Structural equation modeling
Info Detail Spesifik
-
Pernyataan Tanggungjawab
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