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The discriminant validity of a construct is measured by comparing its shared variance with its measures by its shared variance with other constructs (Alizadeh et al. 2011).
This correlational statistical analysis was used to check for multicollinearity and shared variance between the outcomes.
The TCI and Cv were linearly related, but the shared variance in these measures was only 63%.
R2 for the prediction models varied from.47 to.62 and indicated substantial shared variance with the 1-year history of falling.
Participants report significantly greater response pressure on racial attitude items than on social desirability items, and ratings on the two types of items have only moderately shared variance.
We used modeling methods which account for this shared variance to investigate the differences of correlations between cognitive abilities and brain areas.
In this model the shared variance and etiological structure between control, delinquency and substance abuse symptoms, was modeled through a common externalizing factor.
Deciding on the magnitude of the shared variance which is acceptable will depend on numerous factors including the purpose of correlation, however.
Only the variables total alexithymia and anxiety kept differences between the groups after control of the shared variance with the other variables.
In PAF, the analysis of data structure focuses on shared variance and not on sources of error that are unique to individual measurements.
The structure matrix provided a useful double-check of factors extracted in the pattern matrix and also ensured shared variance among factors was not ignored.
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