TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Latent class analysis in PLS-SEM : a review and recommendations for future applications
 
Options

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

Publikationstyp
Journal Article
Date Issued
2022-01
Sprache
English
Author(s)
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
Journal
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.
Subjects
Partial least squares structural equation modeling
PLS-SEM
Finite mixture
FIMIX-PLS
Latent class analysis
DDC Class
330: Wirtschaft
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback