The PLS-SEM Toolbox provides the capability to estimate Structural Equation Models with Partial Least Squares algorithm (SEM-PLS, PLS-SEM or PLS Path Modeling).
Different setups for estimation of factor scores and weighting schemes can be used. Moreover, it comprises modular routines for computation of bootstrap confidence intervals, model parameters and several quality indices.
Numerous graphical outputs help to assess the model.
A well-known mobile phone dataset from marketing research is analyzed in the example to show the main characteristics of the toolbox.
Massimo Aria (2022). PLS-SEM Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/54147-pls-sem-toolbox), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
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