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Characterizing affect dynamics with a damped linear oscillator model: Theoretical considerations and recommendations for individual-level applications.

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Titel: Characterizing affect dynamics with a damped linear oscillator model: Theoretical considerations and recommendations for individual-level applications.
Autoren: Ollero MJF; Department of Social Psychology and Methodology, Universidad Autonoma de Madrid., Estrada E; Department of Social Psychology and Methodology, Universidad Autonoma de Madrid., Hunter MD; Department of Human Development and Family Studies, Pennsylvania State University., Cáncer PF; UNINPSI Clinical Psychology Center, Department of Psychology, Universidad Pontificia de Comillas.
Quelle: Psychological methods [Psychol Methods] 2025 Oct; Vol. 30 (5), pp. 1095-1112. Date of Electronic Publication: 2023 Oct 16.
Publikationsart: Journal Article
Sprache: English
Info zur Zeitschrift: Publisher: American Psychological Association Country of Publication: United States NLM ID: 9606928 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-1463 (Electronic) Linking ISSN: 1082989X NLM ISO Abbreviation: Psychol Methods Subsets: MEDLINE
Imprint Name(s): Original Publication: Washington, DC : American Psychological Association, c1996-
MeSH-Schlagworte: Affect*/physiology , Psychology*/methods , Models, Statistical* , Models, Psychological* , Individuality*, Humans ; Monte Carlo Method ; Linear Models
Abstract: People show stable differences in the way their affect fluctuates over time. Within the general framework of dynamical systems, the damped linear oscillator (DLO) model has been proposed as a useful approach to study affect dynamics. The DLO model can be applied to repeated measures provided by a single individual, and the resulting parameters can capture relevant features of the person's affect dynamics. Focusing on negative affect, we provide an accessible interpretation of the DLO model parameters in terms of emotional lability, resilience, and vulnerability. We conducted a Monte Carlo study to test the DLO model performance under different empirically relevant conditions in terms of individual characteristics and sampling scheme. We used state-space models in continuous time. The results show that, under certain conditions, the DLO model is able to accurately and efficiently recover the parameters underlying the affective dynamics of a single individual. We discuss the results and the theoretical and practical implications of using this model, illustrate how to use it for studying psychological phenomena at the individual level, and provide specific recommendations on how to collect data for this purpose. We also provide a tutorial website and computer code in R to implement this approach. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
Grant Information: Ministry of Science and Innovation of Spain; AEI; Universidad Autónoma de Madrid
Entry Date(s): Date Created: 20231016 Date Completed: 20251002 Latest Revision: 20251002
Update Code: 20251002
DOI: 10.1037/met0000615
PMID: 37843521
Datenbank: MEDLINE
Beschreibung
Abstract:People show stable differences in the way their affect fluctuates over time. Within the general framework of dynamical systems, the damped linear oscillator (DLO) model has been proposed as a useful approach to study affect dynamics. The DLO model can be applied to repeated measures provided by a single individual, and the resulting parameters can capture relevant features of the person's affect dynamics. Focusing on negative affect, we provide an accessible interpretation of the DLO model parameters in terms of emotional lability, resilience, and vulnerability. We conducted a Monte Carlo study to test the DLO model performance under different empirically relevant conditions in terms of individual characteristics and sampling scheme. We used state-space models in continuous time. The results show that, under certain conditions, the DLO model is able to accurately and efficiently recover the parameters underlying the affective dynamics of a single individual. We discuss the results and the theoretical and practical implications of using this model, illustrate how to use it for studying psychological phenomena at the individual level, and provide specific recommendations on how to collect data for this purpose. We also provide a tutorial website and computer code in R to implement this approach. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
ISSN:1939-1463
DOI:10.1037/met0000615