Description: Studies of affective forecasting examine people’s ability to predict (forecast) their emotional (affective) responses to future events. Affective forecasts underlie nearly all decisions people make and the actions they take. However, people engage in systematic cognitive errors when making affective forecasts and most often overestimate the intensity and duration of their emotional responses. Understanding the mechanisms that lead to affective forecasting errors (e.g., immune neglect) and examining the utility of methods for improving affective forecasting errors (e.g., surrogation) can provide highly valuable information for clinicians as they assist clients in determining their goals both for therapy and for life. The first purpose of the current study was to determine if affective forecasting errors due to immune neglect lead to misjudgments about the relative emotional impact of minor versus moderate negative experiences (i.e., trauma severity). The second purpose was to examine the utility of surrogation for improving affective forecasts. Potential interaction effects between these two variables were also examined. The current study utilized a 2 (Trauma Severity: minor, moderate) X 3 (Prediction Information: surrogation information only, simulation information only, both types of information) experimental design. Undergraduates were recruited via the SONA system and randomly assigned to one of the six experimental conditions. A preliminary study was conducted to obtain surrogation information for use in the main study. All participants in the main study predicted how they would feel 10 minutes after receiving negative personality feedback, using a 10-point scale ranging from (1) very unhappy to (10) very happy. These predictions constitute their affective forecasts. All participants then actually received the negative personality feedback (ostensibly from another participant, a peer, in a nearby room) and reported their actual affective states ten minutes later, using the same scale. These ratings constitute their affective reports. Affective forecasting error was calculated as the difference between ...
Date: August 2012
Creator: Burkman, Summer Dae
Item Type: Thesis or Dissertation
Partner: UNT Libraries