WarpPLS
WarpPLS Logo
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| Original author(s) | Ned Kock |
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| Initial release | 2009 |
| Stable release | |
| Operating system | Windows |
| Platform | MATLAB |
| Available in | English |
| Type | Statistical analysis, data collection, structural equation modeling, multivariate analysis |
| License | Proprietary software |
| Website | www |
WarpPLS is a software with graphical user interface for variance-based and factor-based structural equation modeling (SEM) using the partial least squares 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 software development application to be installed; and can be installed and used on various operating systems in addition to Windows, with virtual installations.
WarpPLS has been used to study a number of topics in a variety of disciplines and fields, including: accounting, anthropology, clinical psychology, ecology, economics, education, global environmental change, epidemiology, evolutionary psychology, exercise physiology, information systems, international business, finance, management, marketing, medicine, nursing, organizational psychology, and sociology. Articles presenting empirical studies employing WarpPLS as the main data analysis tool have been published in journals that are highly ranked in their respective fields, such as: Global Environmental Change, Journal of Advanced Nursing, Journal of Management Information Systems, International Business Review, Journal of the Association for Information Systems, Decision Support Systems, and Management Information Systems Quarterly.
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. This and other notable features are summarized through the list below.
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