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Partial least squares structural equation modeling

Publikationstyp
Book Part
Date Issued
2017
Sprache
English
Author(s)
Sarstedt, Marko  
Ringle, Christian M.  orcid-logo
Hair, Joseph F.  
Institut
Personalwirtschaft und Arbeitsorganisation W-9  
TORE-URI
http://hdl.handle.net/11420/4066
Start Page
1
End Page
40
Citation
Handbook of Market Research, 1-40
Publisher DOI
10.1007/978-3-319-05542-8_15-1
Publisher
Springer
Is Part Of
isbn: 78-3-319-05542-8
Partial least squares structural equation modeling (PLS-SEM) has become a popular method for estimating (complex) path models with latent variables and their relationships. Building on an introduction of the fundamentals of measurement and structural theory, this chapter explains how to specify and estimate path models using PLS-SEM. Complementing the introduction of the PLS-SEM method and the description of how to evaluate analysis results, the chapter also offers an overview of complementary analytical techniques. An application of the PLS-SEM method to a well-known corporate reputation model using the SmartPLS 3 software illustrates the concepts.
Subjects
Partial least squares
PLS
PLS path modeling PLS-SEM
SEM
Variance-based structural equation modeling
DDC Class
330: Wirtschaft
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