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Age differences in affective forecasting accuracy.

感觉 心理信息 心理学 总统选举 胜利 社会心理学 情感(语言学) 发展心理学 梅德林 沟通 政治 政治学 法学
作者
Sarah J. Barber,Hiba Kausar,Jessica Udry
出处
期刊:Psychology and Aging [American Psychological Association]
卷期号:38 (5): 357-373 被引量:2
标识
DOI:10.1037/pag0000722
摘要

Affective forecasts are people's predictions of their future feelings in response to future events. In this study, we examined whether younger and older adults differ in their affective forecasting accuracy. To do so, we recruited younger and older American voters and asked them to predict how they would feel following the 2020 U.S. presidential election. In the general feelings condition, participants predicted how they would feel, in general, following an election victory or loss. In the event-related feelings condition, participants predicted their future feelings specifically about an election victory and about an election loss. Later, these same participants reported their experienced feelings (either in general or about the election outcome). In the general feelings condition, age differences in affective forecasting accuracy varied as a function of whether participants' preferred candidate won or lost the election. Among election victors, there were age-related improvements in affective forecasting accuracy of negative feelings. In contrast, among election losers there were age-related declines in affective forecasting accuracy of both negative and positive feelings. A different pattern emerged for participants in the event-related feelings condition. These participants were highly accurate in their affective forecasts, and there were minimal age differences in forecasting accuracy. Together, these results show that age differences in affective forecasting accuracy depend upon both the type of future event, and the type of future feeling being predicted. When considered together, these results also suggest that the focusing illusion plays a key role in modulating age differences in affective forecasting accuracy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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