![]() Registration fees cover refreshments and lunch. PLS-SEM is a complex statistical analysis technique that aims to maximize the explanation of variants in dependent variables (Hair, Ringle & Sarstedt, 2011) Inferential statistical analyzes were used in testing the study hypothesis based on a multivariate analysis of Structural Equation Modeling (SEM) modeling using SmartPLS or more recognizable as PLS-SEM ![]() Helps generate great seminar and journal articles Have literature and network of support groups around the world. ° Introducing Smart PLS as one of the applications that can be used to generate research results Since SmartPLS is programmed in Java, it can be executed and run on different computer operating systems such as Windows and Mac. Besides estimating path models with latent variables using the PLS-SEM algorithm, the software computes standard results assessment criteria (e.g., for the reflective and formative measurement models, the structural model, and the goodness of fit) and it supports additional statistical analyses (e.g., confirmatory tetrad analysis, importance-performance map analysis, segmentation, multigroup). SMART PLSis 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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