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This suggests a categorical effect of gender beyond the effects of physical similarity.
The physiological foundations of the categorical effect in high-level vision remain elusive: others have pointed out that the "mechanisms by which faces are perceived categorically have yet to be adequately accounted for by any theoretical approach" [46].
Some suggest that part of the categorical effect reflects a 'between-categorical separation effect', in which acquired distinctiveness reflects "an increase in perceptual sensitivity to differences that are relevant for a categorization" [44].
For the Red Cross study, probe intensity was modeled as a function of PC1RC, PC2RC and PC3RC using the ANOVA routine in JMP Genomics in the absence of a fixed categorical effect.
A categorical effect would also be supported by the finding of [41] that, with hyper-female, female and male faces all modified along the same physical dimensions, contingent aftereffects arise only when the paired faces differ in gender.
We chose to conduct meta-regression analysis instead of subgroup analysis for categorical effect modifiers because this method allows applying a random effects model and provides a consistent framework for all analyses (metric as well as categorical effect modifiers).
Similar(38)
One way to differentiate between categorical and featural coding hypotheses is to test for residual categorical effects: effects of category selectivity that cannot be accounted for by visual features of stimuli.
Categorical effects are presented for factors with significant evidence of nonlinearity.
In addition to categorical effects, there were continuous effects which were handled non-parametrically to the model.
ANOVA generalizes the t-test to more than two groups and consequently allows any number of categorical effects.
The assumption of linear effects of age was tested through comparison with models including categorical effects for each year of age.
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