Testing mediation via indirect effects in PLS-SEM: A social networking site illustration
Mediation analysis, in the context of structural equation modeling via partial least squares
(PLSSEM), affords a better understanding of the relationships among independent and
dependent variables, when the variables seem to not have a definite connection. In this
paper, we demonstrate such an analysis in the context of social networking sites, using
WarpPLS, a leading PLS-SEM software tool.
(PLSSEM), affords a better understanding of the relationships among independent and
dependent variables, when the variables seem to not have a definite connection. In this
paper, we demonstrate such an analysis in the context of social networking sites, using
WarpPLS, a leading PLS-SEM software tool.
Abstract
Mediation analysis, in the context of structural equation modeling via partial least squares (PLSSEM), affords a better understanding of the relationships among independent and dependent variables, when the variables seem to not have a definite connection. In this paper, we demonstrate such an analysis in the context of social networking sites, using WarpPLS, a leading PLS-SEM software tool.
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