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 PLS-SEM (WPLS), consistent PLS-SEM (PLSc-SEM), and sumscores regression algorithms. The software computes standard results assessment criteria (e.g., for the reflective and formative measurement models and the structural model, including the HTMT criterion, bootstrap based significance testing, PLSpredict, and goodness of fit) and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, higher-order models, importance-performance map analysis, latent class segmentation, mediation, moderation, measurement invariance assessment, multigroup analysis).
Since SmartPLS is programmed in
Java, it can be executed and run on different computer
operating systems such as
Windows and
Mac.
[Temme, D., Kreis, H., and Hildebrandt, L. (2010). A comparison of current PLS path modeling software: Features, ease-of-use, and performance, in: V. Esposito Vinzi, W. W. Chin, J. Henseler, and H. Wang (eds.)]
Handbook of partial least squares: Concepts, methods and applications
Springer: Berlin-Heidelberg, pp. 737-756, p.745.
See also
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Estimation theory
Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value ...
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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 var ...
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Partial least squares regression
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Principal component analysis
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Regression analysis
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Regression validation
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WarpPLS
References
{{Statistical software
2005 software
Data analysis software
Java platform software