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

Hengky Latan (), Joseph F. Hair (), Richard Noonan () and Misty Sabol ()
Additional contact information
Hengky Latan: FTD Institute
Joseph F. Hair: Mitchell College of Business, University of South Alabama
Richard Noonan: Stockholm University, Institute of International Education
Misty Sabol: Mitchell College of Business, University of South Alabama

Chapter Chapter 1 in Partial Least Squares Path Modeling, 2023, pp 3-21 from Springer

Abstract: Abstract This chapter aims to provide a brief overview of the three primary structural equation modeling approaches, which include partial least squares-path modeling (PLS-PM), covariance-based structural equation modeling (CB-SEM), and generalized structure component analysis (GSCA)Generalized Structured Component Analysis (GSCA). We also provide guidelines regarding the appropriate situation to apply each of the three SEM methods. In addition, we describe recent methodological developments in SEM, particularly the method of PLS-PM, as well as applications of selected essential features of PLS-PM. We identify these topics as essential emerging tools for PLS-PM scholars since increasingly their understanding and application will be required in research utilizing PLS-PM. In the end, we summarize our observations and conclusions regarding the evolving state of PLS-PM.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-37772-3_1

Ordering information: This item can be ordered from
http://www.springer.com/9783031377723

DOI: 10.1007/978-3-031-37772-3_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().