
SEMinR Lecture Series
This session is focused on how to perform mediation analysis using SEMinR in Cran R.
This session is focused on how to perform mediation analysis using SEMinR in Cran R.
High collinearity must not be present since it is likely to produce biased path coefficients. For example, as a result of collinearity, the direct effect may become nonsignificant, suggesting the absence of mediation even though, for example, complementary mediation may be present.
Likewise, high collinearity levels may result in unexpected sign changes, rendering any differentiation between different mediation types problematic.
Moreover, a lack of the mediator construct’s discriminant validity with the exogenous or endogenous construct might result in a strong and significant but substantially biased indirect effect, consequently leading to incorrect implications regarding the existence or type of mediation.
After meeting the relevant assessment criteria for reflective and formative measurement models, as well as the structural model, the actual mediation analysis follows.
Following the mediation analysis procedure (Fig), we can now ascertain if the direct effect is significant for the mediation effect (i.e., Vision to Organizational Performance). These paths can be accessed by inspecting the paths element of the summary_simple object. The confidence intervals for the direct effects can be evaluated by inspecting the bootstrapped_paths element of the summary_boot object.
The results in Fig. show that the direct effect from Vision to Organizaitonal Performance is 0.479 with a 95% confidence interval [0.574; 0.723]. As this interval does not include zero, this direct effect is significant. The specific indirect effect was also found significant. Therefore, it can be concluded that the relationship between Vision and Organizaitonal Performance is fully mediated by Collaborative Culture.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook.
The tutorials on SEMinR are based on the mentioned book. The book is open source and available for download under this link.