The code for the assessment of endogeneity using the Gaussian Copula approach comes from
Hult, G. T. M., J. F. Hair, D. Proksch, M. Sarstedt, A. Pinkwart, & C. M. Ringle (2018). Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling. Journal of International Marketing, 26(3), 1–21. https://doi.org/10.1509/jim.17.0151
Test of non-normality
The Gaussian Copula approach can only be used if the independent variable in question is non-normally distributed.
All independent (or endogenous) variables are non-normally distributed. Therefore, the Gaussian Copula approach can be used for all of them.
Regression of Perceived Response Efficacy Beliefs on Distrusting Beliefs and Knowledge
Neither the Distrusting Beliefs nor the Knowledge Copula is significant, indicating that there is no endogeneity in the regression of Perceived Response Efficacy on its predictors.
Regression of Perceived Response Costs Beliefs on Distrusting Beliefs and Knowledge
Neither the Distrusting Beliefs nor the Knowledge Copula is significant, indicating that there is no endogeneity in the regression of Perceived Response Costs on its predictors.
Regression of Behavioral Intention on its predictors
The copula for Perceived Response Efficacy achieves a significant p-value in some constellations (p < 0.1). Further, adding the single copula increases the Perceived Response Efficacy coefficient by about 0.06. Both of this indicates that Perceived Response Efficacy might be endogenous. There is nothing pointing to endogeneity in any of the other predictors.
The copula will be integrated in the final model to improve the model.