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Samples in periodicals archive:
An inverse correlation matrix table can be generated, which contains variance inflation factors on the diagonal elements.
We found no multicollinearity problems with Allison's (1999) methodology by estimating the equivalent linear regression model and evaluating the tolerance and the variance inflation factor for each independent variable.
The variance inflation factor also varied between 1 and 2, and it was certainly less than the threshold value of 5 (Van Laar 1991).
Eliminating perception of mentor as a teacher, multicollinearity was not a concern, as indicated by the Variance Inflation Factor (VIF) values.
A variance inflation factor (VIF) exceeding 10 is often an indication that multicollilnearity may be influencing the least squares estimates.