Several methods can be used to detect multicollinearity in nursing research:
Variance Inflation Factor (VIF): A VIF value greater than 10 suggests high multicollinearity. Correlation Matrix: A correlation coefficient above 0.8 between two independent variables indicates potential multicollinearity. Tolerance: Tolerance values less than 0.1 may signify multicollinearity issues.