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.
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