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Assessing dependency using self-report and indirect measures: examining the significance of discrepancies
Alex Cogswell1, Lauren B Alloy, Andrew Karpinski
1Department of Psychiatry, University at Buffalo, Buffalo, NY 14209, USA. alexcogs@buffalo.edu
None:
The present study addressed convergence between self-report and indirect approaches to assessing dependency. We were moderately successful in validating an implicit measure, which was found to be reliable, orthogonal to 2 self-report instruments, and predictive of external criteria. This study also examined discrepancies between scores on self-report and implicit measures, and has implications for their significance. The possibility that discrepancies themselves are pathological was not supported, although discrepancies were associated with particular personality profiles. Finally, this study offered additional evidence for the relation between dependency and depressive symptomatology and identified implicit dependency as contributing unique variance in predicting past major depression.
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