: CS1 maint: multiple names: authors list ( link) Journal of Applied Structural Equation Modeling. "PLS-SEM STATISTICAL PROGRAMS: A REVIEW" (PDF). Ramayah, Jun-Hwa Cheah, Hiram Ting, Francis Chuah and Tat Huei Cham (2021). Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours. Advanced issues in partial least squares structural equation modeling (PLS-SEM), Thousand Oaks, CA: Sage Publications. A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.), Thousand Oaks, CA: Sage Publications. Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS.
Since SmartPLS is programmed in Java, it can be executed and run on different computer operating systems such as Windows and Mac. 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). 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. Statistical analysis, multivariate analysis, structural equation modeling, partial least squares path modeling English (default language), Arabic, Chinese, French, German, Indonesian, Italian, Japanese, Korean, Malay, Persian, Polish, Portuguese, Romanian, Spanish, Urdu
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