Non-linearity assessment
Posted: Mon Jun 21, 2021 11:35 am
Hello everyone,
I want to use the non-linearity assessment (following Hair, J. F., Sarstedt, M., Ringle, C. M., and Gudergan S. P. 2018. Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage: Thousand Oaks) as robustness check.
My questions are: Do I need to analyze the f2 effects size even if all p-values are not significant and I can assume that the linear effects of the model are robust?
And secondly, do I have to conduct Ramsey's RESET as well, to test nonlinearity of the model as a whole or is it enough to present the not significant results for each relationship?
Thanks ahead!
I want to use the non-linearity assessment (following Hair, J. F., Sarstedt, M., Ringle, C. M., and Gudergan S. P. 2018. Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage: Thousand Oaks) as robustness check.
My questions are: Do I need to analyze the f2 effects size even if all p-values are not significant and I can assume that the linear effects of the model are robust?
And secondly, do I have to conduct Ramsey's RESET as well, to test nonlinearity of the model as a whole or is it enough to present the not significant results for each relationship?
Thanks ahead!