Negative Valence Effect in Affective Forecasting: The Unique Impact of the Valence Among Dispositional and Contextual Factors for Certain Life Events

@article{Christophe2021NegativeVE,
  title={Negative Valence Effect in Affective Forecasting: The Unique Impact of the Valence Among Dispositional and Contextual Factors for Certain Life Events},
  author={Virginie J Christophe and Michel Hansenne},
  journal={Europe's Journal of Psychology},
  year={2021},
  volume={17},
  pages={117 - 130}
}
Decades of research on affective forecasting have shown a persistent intensity bias—a strong tendency by which people overestimate their future hedonic response for positive events and underestimate it for negatives one. While previous research has provided answers on the isolated impact of various individual or contextual factors, this study is original in that it brings them together to determine which ones most influence the inaccuracy of affective forecasting. Participants were asked to… 
View PDF
1 Citations

Figures and Tables from this paper

One Citation

Supplementary materials to "Negative valence effect in affective forecasting: The unique impact of the valence among dispositional and contextual factors for certain life events"

References

SHOWING 1-10 OF 64 REFERENCES
Realistic affective forecasting: The role of personality
TLDR
Three purported personality processes implicated in affective forecasting are suggested, highlighting the importance of individual-differences research in this domain, and calling for more research on realistic affective forecasts.
Affective forecasting: Why can't people predict their emotions?
Two studies explore the frequently reported finding that affective forecasts are too extreme. In the first study, driving test candidates forecast the emotional consequences of failing. Test failers…
Affective forecasting and the Big Five.
When and Why People Misestimate Future Feelings: Identifying Strengths and Weaknesses in Affective Forecasting
TLDR
This investigation tested a model of affective forecasting that captures this variability in bias by differentiating emotional intensity, emotional frequency, and mood and found that participants were more accurate in forecasting the intensity of their emotion and less accurate in forecasts emotion frequency and mood.
Cognitive determinants of affective forecasting errors.
TLDR
Examination of individual differences and contextual variables associated with cognitive processing in affective forecasting for an election showed that the perceived importance of the event and working memory capacity were both associated with an increased impact bias for some participants, whereas retrieval interference had no relationship with bias.
Accuracy and artifact: reexamining the intensity bias in affective forecasting.
TLDR
The results showed that participants accurately predicted the intensity of their feelings about events and revealed that people have more sophisticated self-knowledge than is commonly portrayed in the affective forecasting literature.
Dispositional happiness and affective forecasting: General or specific effect?
Recent findings suggest that dispositional traits can influence personal affective forecasting. In this study, we investigated the relationship between dispositional happiness and affective…
Affective forecasting and self-rated symptoms of depression, anxiety, and hypomania: Evidence for a dysphoric forecasting bias
TLDR
Evidence for a dysphoric forecasting bias is found—the tendency of individuals in dysphoric states to overpredict negative emotional reactions to future events and has implications for affective forecasting studies examining information-processing constructs, decision making, and broader domains of psychopathology.
Investigating the Role of Time in Affective Forecasting: Temporal Influences on Forecasting Accuracy
TLDR
Using extensive diary data from people taking their driver's license exam, the authors investigated the role of time in affective forecasting accuracy and accurately predicted a decrease of their affective reactions over time but underestimated the speed with which this decrease would occur.
When idols look into the future: fair treatment modulates the affective forecasting error in talent show candidates.
TLDR
It is found that perceptions of fair treatment increased the forecasting error for losers but decreased it for winners (a positive audition decision) and a potential paradox between maximizing happiness and decreasing forecasting errors is pointed to.
...
...