Depressive attributions: selection of different causes or assignment of dimensional meanings?

Attributional models of depression suggest that depression is associated with internal, stable, and global causal explanations of events. However, the models do not specify whether the depressive attributional process involves the selection of certain causes, the assignment of dimensional meanings to those causes, or both. A distinction between these two processes was suggested by the findings that the choice of causes does not reliably indicate the perceived dimensions and that there is poor convergence between existing methods that assess causes and those that assess dimensions. When causes and dimensions were each measured in a manner that avoided confounding by the other, each made a unique contribution to the prediction of depression scores. Cause ratings alone were significantly associated with depression scores, but the optimal prediction of depression included both causes and dimensions. The implications of the distinction between these two processes for experimental manipulations of attributions and for reattribution training programs are discussed.