Improved: Added intercepts for unstandardized coefficients IPMA results.Improved: Added specific indirect effects to the PLS-MGA and permutation results.Localization: Update of the existing language versions.Feature: Implementation of consistent PLS-MGA and permutation.Feature: Preferences option to hide leading zeros in the results output.Feature: Descriptive statistics for latent variable scores, residuals, and prediction errors.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. 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. SmartPLS is a software with graphical user interface for variance-based structural equation modeling (SEM) using the partial least squares (PLS) path modeling method.
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