WarpPLS is a software with
graphical user interface
A graphical user interface, or GUI, is a form of user interface that allows user (computing), users to human–computer interaction, interact with electronic devices through Graphics, graphical icon (computing), icons and visual indicators such ...
for variance-based and factor-based
structural equation modeling (SEM) using the
partial least squares
Partial least squares (PLS) regression is a statistics, statistical method that bears some relation to principal component regression, principal components regression and is a reduced rank regression; instead of finding hyperplanes of maximum vari ...
and factor-based methods. The software can be used in
empirical research
Empirical research is research using empirical evidence. It is also a way of gaining knowledge by means of direct and indirect observation or experience. Empiricism values some research more than other kinds. Empirical evidence (the record of one ...
to analyse collected data (e.g., from questionnaire surveys) and test hypothesized relationships. Since it runs on the MATLAB
Compiler
In computing, a compiler is a computer program that Translator (computing), translates computer code written in one programming language (the ''source'' language) into another language (the ''target'' language). The name "compiler" is primaril ...
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, implementat ...
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 va ...
*
Partial least squares regression
Partial least squares (PLS) regression is a statistical method that bears some relation to principal components regression and is a reduced rank regression; instead of finding hyperplanes of maximum variance between the response and independent ...
*
Principal component analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.
The data is linearly transformed onto a new coordinate system such that th ...
*
SmartPLS
SmartPLS is a software with graphical user interface for variance-based Structural equation modeling, structural equation modeling (SEM) using the Partial least squares path modeling, partial least squares (PLS) path modeling method. Users can es ...
References
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Data analysis software