ReviewFrontiers in psychology2024
Discrete and dimensional approaches to affective forecasting errors.
Review in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Affective Forecasting Accuracy in Everyday Life.Affective science · 2026Article
- Neural correlates of affective forecasting in individuals with high trait anxiety: evidence from resting-state functional connectivity.Brain imaging and behavior · 2025Article
- A multi-label text sentiment analysis model based on sentiment correlation modeling.Frontiers in psychology · 2024Article
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Authors and funding
2 authors.
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Abstract
Evidence for affective forecasting errors is mixed. We review recent studies to determine whether taking a discrete versus dimensional approach to measuring affective forecasting could partly explain this inconsistency. We observed variation in measurement approaches to measuring and analyzing affective forecasting; those that adopted a discrete approach often examined high arousal positive (e.g., excitement) and negative (e.g., anger) emotions. We recommend conducting empirical studies and meta-analyses to examine whether affective forecasting errors differ systematically depending on measurement approach. Furthermore, we recommend expanding the scope of affective forecasting investigations to examine more granular dimensional affective states and low-arousal discrete emotions. The ideas and future directions presented enhance our understanding of affective forecasting errors and how we study them.
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