Joseph F. Hair Jr.; G. Tomas M. Hult; Christian M. Ringle; Marko Sarstedt; Nicholas P. Danks; Soumya Ray Springer Nature Switzerland AG (2021) Kovakantinen kirja
Lăcrămioara Radomir (ed.); Raluca Ciornea (ed.); Huiwen Wang (ed.); Yide Liu (ed.); Christian M. Ringle (ed.); Ma Sarstedt Springer (2024) Pehmeäkantinen kirja
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.
