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The impact bias is alive and well
Timothy D Wilson1, Daniel T Gilbert
1Department of Psychology.
People frequently overestimate how intensely they will feel emotions about future events. This "impact bias" in affective forecasting is robust, contrary to claims that only emotional duration, not intensity, is overestimated.
Area of Science:
- Psychology
- Cognitive Science
Background:
- Affective forecasting research indicates people often overestimate the emotional impact of future events.
- Levine et al. (2012) proposed that overestimation is limited to the duration, not intensity, of emotional responses.
Purpose of the Study:
- To re-evaluate the claim that affective forecasting does not involve overestimation of emotional intensity.
- To identify and correct methodological flaws in the meta-analysis by Levine et al. (2012).
Main Methods:
- Critically reviewed the meta-analysis by Levine et al. (2012), including studies they omitted and re-examining their classification and coding.
- Analyzed four additional studies reported by Levine et al. for alternative explanations.
Main Results:
- Levine et al. (2012) omitted contradictory studies, employed a flawed classification scheme, combined dissimilar conditions, and miscoded data.
- Correcting these errors refutes the claim that emotional intensity is not overestimated.
- The four additional studies offer alternative explanations that do not support Levine et al.'s conclusions.
Conclusions:
- The impact bias, or overestimation of emotional intensity in affective forecasting, is a well-supported phenomenon.
- Methodological rigor is crucial for accurate conclusions in meta-analyses of affective forecasting.
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