Sentences with phrase «multicollinearity in»

To deal with the issue of multicollinearity in the data, all variables were examined using the Variance Inflation Factor (VIF) and Tolerance in SPSS.

Not exact matches

In spite of significant intercorrelations among some of the predictor variables, none of these correlations approached the level -LRB-.70 or higher) suggestive of significant problems with multicollinearity (Tabachnick & Fidell, 1996, p. 86).

The results remained relatively stable in relationship to the independent variables, and multicollinearity was evaluated and found to have minimal influence.

On the basis of this examination and approach to modeling, 35 multicollinearity was deemed to have minimal effect in respect to the final models.

We were able to estimate a stable model, though, by constraining ORs for particular types / numbers of disorders to be the same in predicting both planned and unplanned attempts unless the interaction of the predictor with plans in the pooled model was significant at the α level of.05 and had an estimated variance inflation factor (a diagnostic test suggesting that a regression coefficient might be affected by multicollinearity) of less than 10.0.

multiple regression procedures for analyzing data as applied in education settings, including curvilinear regressions, dummy variables, multicollinearity, and introduction to path analysis.

The bivariate correlations were used to (a) check for multicollinearity among predictor variables and (b) determine whether any error terms needed to be correlated in the final model.

The means, standard deviations, and bivariate correlations among the model variables are summarized in Table I. Correlations among the predictors of engagement were modest and do not suggest the presence of multicollinearity.

In the current study, although multicollinearity was not indicated, there was a significant correlation between the two subscales of the HADS.