WarpPLS is a software with graphical user interface for variance-based and factor-based
structural equation modeling (SEM) using the
partial least squares
Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of finding hyperplanes of maximum variance between the response and independent variables, it finds a li ...
and factor-based methods. The software can be used in empirical research to analyse collected data (e.g., from questionnaire surveys) and test hypothesized relationships. Since it runs on the MATLAB Compiler Runtime, it does not require the
MATLAB
MATLAB (an abbreviation of "MATrix LABoratory") is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementa ...
software development application to be installed; and can be installed and used on various operating systems in addition to Windows, with virtual installations.
Main features
Among the main features of WarpPLS is its ability to identify and model non-linearity among variables in path models, whether these variables are measured as latent variables or not, yielding parameters that take the corresponding underlying heterogeneity into consideration.
Other notable features are summarized:
* Guides SEM analysis flow via a step-by-step user interface guide.
* Implements classic (composite-based) as well as factor-based PLS algorithms.
* Identifies nonlinear relationships, and estimates path coefficients accordingly.
* Also models linear relationships, using classic and factor-based PLS algorithms.
* Models reflective and formative variables, as well as moderating effects.
* Calculates P values, model fit and quality indices, and full collinearity coefficients.
* Calculates effect sizes and Q-squared predictive validity coefficients.
* Calculates indirect effects for paths with 2, 3 etc. segments; as well as total effects.
* Calculates several causality assessment coefficients.
* Provides zoomed 2D graphs and 3D graphs.
See also
*
Partial least squares path modeling The partial least squares path modeling or partial least squares structural equation modeling (PLS-PM, PLS-SEM) is a method for structural equation modeling that allows estimation of complex cause-effect relationships in path models with latent vari ...
*
Partial least squares regression
Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead of finding hyperplanes of maximum variance between the response and independent variables, it finds a ...
*
Principal component analysis
*
SmartPLS
SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method. Users can estimate models with their data by using basic PLS-SEM, weighted PL ...
References
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Data analysis software