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Using self report measures to corroborate theories of depression: the specificity problem
1Department of Psychology, Fairleigh Dickinson University, Teaneck, NJ 07666.
Journal of Personality Assessment
|August 1, 1993
Summary
Depression theories’ specific constructs correlate with anxiety and affect, not uniquely with depression. This challenges the specificity of current depression models measured by self-report scales.
Area of Science:
- Psychology
- Clinical Psychology
- Mental Health Research
Background:
- Depression scales often correlate with anxiety and negative emotional states.
- This overlap raises questions about the specificity of depression theories and their measurement models.
- Negative affect is a commonly cited factor contributing to the overlap between depression and anxiety.
Purpose of the Study:
- To investigate the relationships among depression, anxiety, positive and negative affect, and theory-specific constructs in college students.
- To determine if theory-relevant constructs are more specific to depression than anxiety measures.
- To examine the affective correlates of depression theory constructs.
Main Methods:
- Utilized a sample of college students.
- Administered self-report measures for depression, anxiety, positive affect, negative affect, and constructs from depression theories.
- Analyzed the interrelationships between these measures.
Main Results:
- Theory-relevant scales showed no stronger correlation with depression than with anxiety measures.
- These scales demonstrated strong correlations with either positive or negative affect, but rarely both.
- The specificity of depression models, as indicated by self-report measures, was questioned.
Conclusions:
- Self-report measures of depression theory constructs lack specificity, correlating similarly with anxiety.
- The affective profiles of these constructs suggest they are not exclusively tied to depression.
- Findings challenge the validity of current self-report methodologies for confirming depression-specific theoretical models.