Image of Partial least squares structural equation modeling (PLS-SEM) using R : a workbook

Text

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.

Availability

No copy data

Detail Information
Series Title
-
Call Number
511.42 JOS p
Publisher
Switzerland : Springer Cham.,
Collation
XIV, 197 p
Language
English
ISBN/ISSN
9783030805197
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Statistics
Econometrics
Marketing
R (Computer program language)
Structural equation modeling
Finance--Mathematical models
Least squares
Statistics--Computer programs
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

File Attachment
Comments
You must be logged in to post a comment