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  4. Latent class analysis in PLS-SEM : a review and recommendations for future applications
 
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Latent class analysis in PLS-SEM : a review and recommendations for future applications

Publikationstyp
Journal Article
Publikationsdatum
2022-01
Sprache
English
Author
Sarstedt, Marko 
Radomir, Lăcrămioara 
Moisescu, Ovidiu I. 
Ringle, Christian M. orcid-logo
Institut
Personalwirtschaft und Arbeitsorganisation W-9 
TORE-URI
http://hdl.handle.net/11420/10397
Enthalten in
Journal of business research 
Volume
138
Issue
January
Start Page
398
End Page
407
Citation
Journal of business research 138: 398-407 (2022-01)
Publisher DOI
10.1016/j.jbusres.2021.08.051
Scopus ID
2-s2.0-85115964766
Peer Reviewed
true
With the increasing prominence of partial least squares structural equation modeling (PLS-SEM) in business research, the use of latent class analyses for identifying and treating unobserved heterogeneity has also gained momentum. Researchers have introduced various latent class approaches in a PLS-SEM context, of which finite mixture PLS (FIMIX-PLS) plays a central role due to its ability to identify heterogeneity and indicate a suitable number of segments to extract from the data. However, applying FIMIX-PLS requires researchers to make several choices that, if incorrect, could lead to wrong results and false conclusions. Addressing this concern, we present the results of a systematic review of FIMIX-PLS applications published in major business research journals. Our review provides an overview of the interdependencies between researchers’ choices and identifies potential problem areas. Based on our results, we offer concrete guidance on how to prevent common pitfalls when using FIMIX-PLS, and identify future research areas.
Schlagworte
Partial least squares structural equation modeling
PLS-SEM
Finite mixture
FIMIX-PLS
Latent class analysis
DDC Class
330: Wirtschaft
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