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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R/ by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray.
其他題名:	A Workbook /
作者:	Hair Jr., Joseph F.
其他作者:	Ray, Soumya.
面頁冊數:	XIV, 197 p. 77 illus., 51 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics and Computing/Statistics Programs. -
電子資源:	https://doi.org/10.1007/978-3-030-80519-7
ISBN:	9783030805197

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R = A Workbook /
Hair Jr., Joseph F.

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using RA Workbook /[electronic resource] :by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray. - 1st ed. 2021. - XIV, 197 p. 77 illus., 51 illus. in color.online resource. - Classroom Companion: Business,2662-2874. - Classroom Companion: Business,.

An Introduction to Structural Equation Modeling -- Introduction to R and RStudio -- Introduction to SEMinR -- Evaluation of Reflective Measurement Models -- Evaluation of Formative Measurement Models -- Evaluation of the Structural Model -- Mediation Analysis -- Moderation Analysis.

Open Access

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.

ISBN: 9783030805197

Standard No.: 10.1007/978-3-030-80519-7doiSubjects--Topical Terms:

669775
Statistics and Computing/Statistics Programs.

LC Class. No.: HF5410-5417.5

Dewey Class. No.: 658.8

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