Research Seminar
Representing emotion as self-regulatory processes Using dynamic modelsSy-Miin ChowUniversity of Notre Dame | |
| Abstract: | Over the last few decades, researchers have become increasingly aware of the need to consider change and intraindividual variability in emotion regulation. Central to most linear and "static" models, however, are very restrictive assumptions on the ways in which emotion regulation unfolds over time and the maintenance of such lawful relationships over time. Illustrative examples will be provided to explicate how dynamic models such as differential equation models and models with time-varying parameters can be utilized to enhance our understanding of emotion as a process. The first example considered is a damped oscillator model used to represent emotion as a self-regulatory thermostat. Parameters from this model reflect individual differences in emotional lability, and the ability to regulate emotion. The second model considered is a time-varying growth curve model used to represent nonparametric changes in emotion and nonstationarities therein. The utility of these modeling approaches is illustrated using daily emotion ratings from 179 college students over 52 consecutive days. Extensions of the proposed models to experience sampling data with irregularly spaced intervals will be presented. |
| Date: | Tue Dec 12, 12:15 pm - 1:15 pm |
| Place: | room 01.90, Department of Psychology, Tiensestraat 102, 3000 Leuven |