Research Seminar
CLASSI-R: Extending the CLASSI model for the study of sequential processesEva CeulemansKU Leuven | |
| Abstract: | In this paper, we focus on the modeling of a specific type of three-way three-mode data that often occurs in emotion psychology, the modes of which consist of (1) persons, (2) situations, and (3) appraisals as well as subjective emotional experience. Underlying such data, personality psychologists typically assume a sequential process with two links: situations activate specific appraisals in persons (link 1); subsequently, specific patterns of activated appraisals elicit the experience of particular emotions (link 2). It is further hypothesized that these two types of links may differ across persons. An important challenge then consists of retrieving the place and the nature of the key individual differences in the process under study. To meet this challenge, Ceulemans & Van Mechelen (2008) recently introduced the CLASSI model for binary data. This model includes two binary core arrays that represent the two types of links as well as individual differences therein. Data in emotion psychology are often real-valued, however. Therefore, in this paper, we propose the CLASSI-R model, which extends CLASSI to real-valued data. The main difference between CLASSI-R and CLASSI consists of the use of (1) real-valued core arrays instead of binary ones and (2) linear algebra instead of Boolean algebra. |
| Date: | Tue Oct 14, 12:15 pm - 1:15 pm |
| Place: | room 00.60 (Department of Psychology, Tiensestraat 102, 3000 Leuven) |