Sentences with word «multicollinearity»

This presence of multicollinearity between values of adherence and the family variables is as would be expected.

We also calculated variance inflation factors and tolerance limits to ensure that our analyses were not affected by multicollinearity.

In order to simplify the interpretation of results and to reduce multicollinearity, all predictors were grand - mean centered before further analyses.

The paper introduces all indices of multicollinearity diagnoses, the basic principle of principal component regression and determination of «best» equation method.

Do you like tinkering with formulas and performing statistical tests to avoid multicollinearity?

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

To minimize multicollinearity, predictor variables were centered before they were multiplied (Judd & McClelland, 1989).

(see Table 2), we examined whether the counterintuitive finding resulted from multicollinearity.

The correlation between differences in motives and differences in capabilities between partners was.53 — not high enough to indicate undue multicollinearity.

Additionally, the correlation between any two variables did not reach the mean scale reliability, which shows no evidence of multicollinearity according to Campbell and Fiske (1959).

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

Note that before squaring workload, we first person - mean centered this variable due to the high risk of multicollinearity otherwise.

We did not include age as a covariate due to the high correlation between age and generation (r =.83) and the possible problems with multicollinearity.

This strategy reduces the potential for multicollinearity and eases interpretation of results (Cohen, Cohen, West, & Aiken, 2003).

To minimize problems of multicollinearity, daily hassles and social support scores were «centered» (by subtracting each score from the sample mean).

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Given the multicollinearity problems of my model, here is what I think I know:

In addition to the multicollinearity problem (for which explicit tests exist) and the simultaneity issue there is the ever present question of autocorrelation of time series data.

For example, I expect Ross will fix the multicollinearity problem I pointed out (nb: doing so will strengthen his conclusion), without anyone needing to sumbit a comment to JESM.

Results from these tests showed that the assumption of multicollinearity was not violated with VIF values less than 1.25 and Tolerance values above 0.93.

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

These reversed ORs could not be ascribed to multicollinearity (Tabachnick and Fidell, 2001).

Prior to multivariable analysis, the multicollinearity test was done.

Prior to the regression analyses the variables were centered to reduce the multicollinearity between predictor variables.

Bartlett's test of sphericity was statistically significant (χ2 = 1,763.72, df = 78, p <.001), and no evidence of multicollinearity or singularity was found (Tabachnick and Fidell 2001).

To minimize problems with multicollinearity and to facilitate interpretation of results, temperament and conflict variables were centered in all analyses (Aiken & West, 1991).

To reduce the number of predictors in the regression models and the possibility of multicollinearity, an SES variable consisting of a composite of mother education and median neighborhood household income (r =.47, p <.001) was created by standardizing both variables and calculating the mean.

Finally, data was assessed for multicollinearity.