Research Seminar
Continuous autoregressive (CAR) models of affective processesCecilia ReynaUniversidad Nacional de Córdoba and KU Leuven | |
| Abstract: | Temporal variability is an intrinsic property of emotions and affective experiences. In this presentation, we will study two affective processes (positive and negative affect) over time using continuous autoregressive models of arbitrary order p (CAR(p); Belcher, Hampton, & Tunnicliffe Wilson, 1994). The model assumes a stochastic autoregressive process continuously unfolding in time. The CAR(p) model is especially useful for modelling irregularly sampled time series data, such as typically obtained using experience sampling methods (and which are not well represented using traditional discrete time series models). Positive and negative affect time series of 73 participants were examined using uni- and bivariate CAR models and a best-fitting model was determined for each individual. In a next step, person covariates are related to some key features of the person-specific model (such as the order of the process, and the power of the higher frequencies). Advantages and disadvantages of this approach and future lines of work are discussed. |
| Date: | Tue May 3, 12:15 pm - 1:15 pm |
| Place: | room 02.60 (Department of Psychology, Tiensestraat 102, 3000 Leuven) |