Description

Estimate, analyze, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures including estimation techniques such as partial least squares path modeling (PLS) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA) unit weights (sum score) and fixed weights, as well as several tests and typical postestimation procedures (e.g., assess the model fit, compute direct, indirect and total effects).

Author(s)

Maintainer: Manuel E. Rademaker manuel.rademaker@uni-wuerzburg.de (ORCID)

Authors:

• Florian Schuberth f.schuberth@utwente.nl (ORCID)

Other contributors:

• Tamara Schamberger tamara.schamberger@uni-wuerzburg.de (ORCID) [contributor]

• Michael Klesel (ORCID) [contributor]

• Theo K. Dijkstra [contributor]

• Jörg Henseler (ORCID) [contributor]

See Also

Useful links:

• https://github.com/M-E-Rademaker/cSEM

• https://m-e-rademaker.github.io/cSEM/

• Report bugs at https://github.com/M-E-Rademaker/cSEM/issues