Importance-performance map analysis (IPMA) of PLS-SEM results.Short recap on the fundamentals of PLS-SEM model evaluation.More specifically, participants will understand the following topics: The objectives of this course are to (1) provide advanced knowledge on the PLS-SEM approach, (2) gain insights on additional analysis methods in the PLS-SEM modelling framework that increase publication success, and (3) improve PLS-SEM modeling and analytical skills. This course has been designed to familiarize participants with the potentials of using the multivariate analysis method PLS-SEM in their research. Furthermore, PLS-SEM allows to estimate reflective and formative constructs and generally offers much flexibility in terms of data requirements. Compared to other SEM techniques, PLS-SEM allows researchers to estimate very complex models with many constructs and indicator variables. PLS-SEM is a composite-based approach to SEM, which aims at maximizing the explained variance of dependent constructs in the path model. The second day will cover the assessment of data heterogeneity in different forms, i.e., observed (e.g., multi-group, moderation, non-linear effects) and unobserved (e.g., segmentation using FIMIX-PLS and PLS-POS). The first day of the course starts with a brief recap of the more basic and advanced model evaluation criteria and some useful additional modelling tools like IPMA, higher-order constructs and mediation.
#Smartpls software software
This two-day course advances participants knowledge of partial least squares structural equation modeling (PLS-SEM) using the world-leading PLS-SEM software SmartPLS. Thursday, JCOURSE: ADVANCED TOPICS OF PLS-SEM USING SMARTPLS