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- These effects will only be present for cognitively-mediated
depressions, which are assumed to be a product of cognitive feedback
between affective and semantic structures as described by Ingram
(1984). More biological depressions such as those which are a product
of bipolar disorder may not show the same results. As such, measures
of depression such as the Beck Depression Inventory (BDI) may be
highly correlated with the observed information processing biases,
while other measures of depression may not be so highly correlated.
- These effects will be present in formerly depressed people if
rumination on negativity is trait-like.
- As Nolen-Hoeksema (1987) has suggested that ruminative coping
styles are mediated by gender, so too may depressive attention biases
due to rumination be mediated by gender.
- A final prediction may be generated from the network theory
regarding the performance of people who are not depressed on the
tasks. Because feedback from the affective structures is hypothesized
to aid in the determination only of stimuli with affective content, it
may be that stimuli which are positive or negative will be identified
faster than neutral stimuli by both nondepressed and depressed people,
on both tasks. This prediction is similar to that made by Kitayama
(1990) who suggests that ``preconscious'' processing of affective
information guides semantic processing. Notably, this prediction is,
indeed born out in the lexical decision data summarized in the
meta-analysis above.
- The affective interference theory predicts that induced
depression should have no effect on lexical decision because the
induction has not created a maladaptive network of negative
constructs. Such a finding is supported by Challis and Krane (1988) and
Clark et al. (1983). It is not tested in the present experiments.
Next: Method
Up: Specific Predictions of the
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Greg Siegle
1999-11-15