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

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

Ngôn ngữ: eng

ISBN-13: 978-3030805197

ISBN: 978-3-030-80519-7

Ký hiệu phân loại: 511.42 Methods

Thông tin xuất bản: Cham, Switzerland : Springer Nature, 2021

Mô tả vật lý: 1 electronic resource (197 p.)

Bộ sưu tập: Tài liệu truy cập mở

ID: 219642

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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