collinearity


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collinearity

very high correlation between variables.
References in periodicals archive ?
After checking on collinearity issue in formative measure, the last step to assess formative measurement model is assessing the significance and relevance of the formative indicators.
Lateral collinearity and misleading results in variance-based SEM: an illustration and recommendations.
Two variables (urban versus rural residence, and living outside of Xiangtan) could not be included in the model because of collinearity with included variables
The effect of categorical and continuous predictor variables on the outcome of interest were checked using normality test of the distribution of values of the continuous variables, collinearity statistics and interaction between the significant variables.
Other collinearity diagnostics show similar results (Appendix B).
Also, the final model has no collinearity (the variance inflation factors for each independent variable in the model was less than 2.
The existence of linear dependence in the independent constructs can be determined by observing the collinearity statistic fields in Table 6.
The presence of collinearity does not reduce the predictive power of the model as a whole, but the individual coefficients estimated for each collinear variable could be unstable when new variables or observations are introduced to the model, especially for VIF values [greater than or equal to] 10 (26).