SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method.[1][2][3][4][5] 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.[6][7] 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)[8] 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, regression analysis, logistic regression, path analysis, PROCESS, confirmatory factor analysis, and covariance-based structural equation modeling).[9][10][11]
Since SmartPLS is programmed in Java, it can be executed and run on different computer operating systems such as Windows and Mac.[12]
^Mumtaz Ali Memona, T. Ramayah, Jun-Hwa Cheah, Hiram Ting, Francis Chuah and Tat Huei Cham (2021). "PLS-SEM Statistical Programs: A Review"(PDF). Journal of Applied Structural Equation Modeling. 5(i): i–xiv.{{cite journal}}: CS1 maint: multiple names: authors list (link)
^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.