Work

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

Year: 2021

Type: article

Study design: Systematic Review

Source: Journal of Business Research

DOI: 10.1016/j.jbusres.2021.08.051

Authors: Marko Sarstedt, Lăcrămioara Radomir, Ovidiu Ioan Moisescu, Christian M. Ringle

Institutions: Babeș-Bolyai University, Ludwig-Maximilians-Universität München, University of Waikato, Hamburg University of Technology

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: European Commission, Universitatea Babeș-Bolyai

OpenAlex ID: W3202481927

FWCI: 13.29

Cites: 98

Cited by: 389

Related to: 10