Partial least squares structural equation modeling (PLS-SEM) using R : a workbook / Joseph F. Hair [et al.]

Format:

Book

Author/Creator:

Hair, Joseph F., Jr., 1944-

Contributor:

Hult, G. Tomas M.

Ringle, Christian M.

Sarstedt, Marko.

Danks, Nicholas P.

Ray, Soumya.

Series:

Classroom companion. Business

Language:

English

Subjects (All):

Finance--Mathematical models.

Finance.

Least squares.

R (Computer program language).

Structural equation modeling.

Physical Description:

1 online resource (xiv, 197 pages) : illustrations (some color)

Place of Publication:

Cham : Springer International Publishing AG, 2021.

Language Note:

English

Summary:

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

Notes:

Description based upon print version of record.

OCLC:

1285074600