Genetic algorithm segmentation in partial least squares structural equation modeling

DOI10.1007/s00291-013-0320-0zbMath1290.90090OpenAlexW1999371986WikidataQ61456698 ScholiaQ61456698MaRDI QIDQ2454364

Marko Sarstedt, Christian M. Ringle, Rainer Schlittgen

Publication date: 13 June 2014

Published in: OR Spectrum (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00291-013-0320-0

zbMATH Keywords

partial least squaresgenetic algorithmsegmentationstructural equation modelingpath modelingPLS-SEM

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

Finding groups in structural equation modeling through the partial least squares algorithm ⋮ Genetic algorithm segmentation in partial least squares structural equation modeling

Uses Software

• GAUSS
• R
• SPSS
• flexmix
• LISREL
• semPLS
• SmartPLS
• plspm

Cites Work

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• PLS path modeling
• Some comments on maximum likelihood and partial least squares methods
• Structural analysis of covariance and correlation matrices
• A genetic algorithm approach to cluster analysis.
• Goodness-of-fit indices for partial least squares path modeling
• Handbook of partial least squares. Concepts, methods and applications.
• Genetic algorithm segmentation in partial least squares structural equation modeling
• REBUS‐PLS: A response‐based procedure for detecting unit segments in PLS path modelling
• Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies

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