Affective processes were predicted to play a critical role in choices among
complex stimuli. As hypothesized self-report measures of individual differ
ences in affective information processing were associated with choices in a
task designed by Bechara, Damasio, Damasio, and Anderson (1994) to mimic t
he gains, losses, and uncertainties of real life decisions. The results wer
e stronger when the processing of losses was considered separately from the
processing of gains. Greater negative affectivity was associated with more
avoidance of high-loss options; greater positive affectivity was associate
d with more choices from high-gain options. Both measures of affectivity ad
ded unique explanatory power to the prediction of choices among the decks o
ver and above conscious knowledge about the decks. Affect appears to play a
n important role in guiding decisions and judgments.