Modeling Intraindividual Dynamics Using Stochastic Differential Equations: Age Differences in Affect Regulation
Year: 2017
Type: article
Study design: Observational Study
Abstract: Objectives: Life-span theories of aging suggest improvements and decrements in individuals' ability to regulate affect. Dynamic process models, with intensive longitudinal data, provide new opportunities to articulate specific theories about individual differences in intraindividual dynamics. This paper illustrates a method for operationalizing affect dynamics using a multilevel stochastic differential equation (SDE) model, and examines how those dynamics differ with age and trait-level tendencies to deploy emotion regulation strategies (reappraisal and suppression). Method: Univariate multilevel SDE models, estimated in a Bayesian framework, were fit to 21 days of ecological momentary assessments of affect valence and arousal (average 6.93/day, SD = 1.89) obtained from 150 adults (age 18-89 years)-specifically capturing temporal dynamics of individuals' core affect in terms of attractor point, reactivity to biopsychosocial (BPS) inputs, and attractor strength. Results: Older age was associated with higher arousal attractor point and less BPS-related reactivity. Greater use of reappraisal was associated with lower valence attractor point. Intraindividual variability in regulation strategy use was associated with greater BPS-related reactivity and attractor strength, but in different ways for valence and arousal. Discussion: The results highlight the utility of SDE models for studying affect dynamics and informing theoretical predictions about how intraindividual dynamics change over the life course.
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: bronze
Funders: University of Pennsylvania, Pennsylvania State University, National Institutes of Health, Social Science Research Institute, Pennsylvania State University, National Institute on Aging, National Institute of General Medical Sciences, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Penn State Clinical and Translational Science Institute, G1826566369, G388112773, ARRA: Tools for Articulating Within-Person Dynamic Models of Interpersonal Intera, Toward a Unifying Model of Self-Regulation and its Development, G6355789091, Population Research Institute, G9000228955, Modeling the Dynamics of Early Communication and Development
OpenAlex ID: W2594537406
