认为各个变量之间不存在显著的多重共线性, In the treating processes, has first carried on the multiple collinearity examination to the designation variable, discovered chooses 12 variable variance inflation factor VIF is smaller than 10, thought between each variable does not have the remarkable multiple...
Multicollinearity among the selected factors was assessed based on the variance inflation factor (VIF) and tolerance (TOL) using training data (Roy et al. 2019; Mallick et al. 2021). A TOL value of < 0.1 and a VIF value of > 5 indicate the presence of multicollinearity problems...
Finally, Harman’s single-factor analysis was applied using exploratory factor analysis (in using IBM SPSS Statistics™ v 28.0.1.0) to restrain possible common method bias [62]. Hence, the current study sample was not affected by method biases, as no single factor attributed to most of the...