Feelings change: Accounting for individual differences in the temporal dynamics of affect.
Abstract
People display a remarkable variability in the patterns and trajectories with which their feelings change over time. In this article, we present a theoretical account for the dynamics of affect (DynAffect) that identifies the major processes underlying individual differences in the temporal dynamics of affective experiences. It is hypothesized that individuals are characterized by an affective home base, a baseline attractor state around which affect fluctuates. These fluctuations vary as the result of internal or external processes to which an individual is more or less sensitive and are regulated and tied back to the home base by the attractor strength. Individual differences in these 3 processes--affective home base, variability, and attractor strength--are proposed to underlie individual differences in affect dynamics. The DynAffect account is empirically evaluated by means of a diffusion modeling approach in 2 extensive experience-sampling studies on people's core affective experiences. The findings show that the model is capable of adequately capturing the observed dynamics in core affect across both large (Study 1) and shorter time scales (Study 2) and illuminate how the key processes are related to personality and emotion dispositions. Implications for the understanding of affect dynamics and affective dysfunctioning in psychopathology are also discussed.
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Owing to the variability of psychological processes such as affective and emotional dynamics, ambulatory assessment can more precisely determine the fluctuation of symptoms.
“Owing to the variability of psychological processes such as affective and emotional dynamics [4], AA can more precisely determine the fluctuation of symptoms.”
From Studies of Social Anxiety Using Ambulatory Assessment: Systematic Review (2024) · cites this paper as [4]
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Individual pathways of change: Statistical models for analyzing learning and development.
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- Authors
- Kuppens, P., Oravecz, Z., & Tuerlinckx, F.
- Affiliations
- KU Leuven (BE)
- Venue
- Journal of Personality and Social Psychology
- Published
- 2010-12
- Volume
- 99
- Issue
- 6
- Pages
- 1042-1060
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W2047116924
- Cited by
- 543
- References
- 136
- Citations by year
- 2026: 58 · 2025: 45 · 2024: 53 · 2023: 40 · 2022: 28 · 2021: 56 · 2020: 42 · 2019: 48 · 2018: 31 · 2017: 27 · 2016: 26 · 2015: 25 · 2014: 17 · 2013: 18 · 2012: 20
- FWCI
- 19.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Personality and Social Psychology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- KULeuven Research Council (GOA/05/04)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Keywords
- affect dynamics, individual differences, core affect, affective variability, diffusion models, ecological momentary assessment, emotion regulation, personality, psychopathology
- MeSH terms
- Adult, Affect, Belgium, Emotions, Female, Humans, Individuality, Male, Models, Psychological, Personality, Temperament, Time Factors, Nonlinear Dynamics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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