Attributions and depression: why is the literature so inconsistent?

Area of Science:

• Psychology
• Clinical Psychology
• Psychopathology

Background:

• The relationship between depression and causal attributions is complex and has yielded inconsistent results in previous research.
• A significant limitation in prior studies is the inadequate statistical power, hindering the interpretation of findings, particularly negative results.

Purpose of the Study:

• To systematically review and compute the statistical power of published studies examining the link between depression and various causal attributions.
• To clarify inconsistencies in the literature by analyzing findings based on varying levels of statistical power.

Main Methods:

• Statistical power was calculated for 87 published analyses correlating depression with attributions to internal, stable, global causes, or their composites (ability/character, effort/behavior, luck, task difficulty).
• Studies were categorized and analyzed based on their statistical power levels to identify patterns in reported associations.

Main Results:

• The average statistical power across reviewed analyses was found to be very poor, with only 8 out of 87 analyses achieving adequate power (.80 or better) to detect small-medium effects.
• While overall studies showed a consistent link between depression and the composite of internal, stable, and global attributions, higher power studies demonstrated significant associations with stable and global attributions individually, in addition to the composite.

Conclusions:

• The inconsistencies in the depression-attribution literature are likely attributable to insufficient statistical power in many studies.
• Future research should prioritize adequate statistical power in study design and interpretation to yield more reliable and meaningful findings on the relationship between depression and causal attributions.