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1. Introduction to the Partial Least Squares Path Modeling: Basic Concepts and Recent Methodological Enhancements

  • 2023
  • OriginalPaper
  • Chapter
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Abstract

The chapter begins with an overview of the three primary structural equation modeling (SEM) approaches: Partial Least Squares Path Modeling (PLS-PM), Covariance-Based Structural Equation Modeling (CB-SEM), and Generalized Structured Component Analysis (GSCA). It delves into the historical context and methodological advancements of PLS-PM, highlighting its prediction-oriented nature and flexibility in handling complex models. The chapter also discusses the fundamental differences between PLS-PM and CB-SEM, emphasizing PLS-PM's use of total variance and focus on prediction. Additionally, it introduces GSCA as a newer SEM alternative, comparing its features with PLS-PM and CB-SEM. The chapter concludes with practical guidelines for selecting the appropriate SEM method based on research purpose, measurement models, and data characteristics, making it a valuable resource for researchers seeking to apply the most suitable SEM method to their studies.

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Title
Introduction to the Partial Least Squares Path Modeling: Basic Concepts and Recent Methodological Enhancements
Authors
Hengky Latan
Joseph F. Hair Jr.
Richard Noonan
Misty Sabol
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-37772-3_1
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