Research Seminar
DISCO-SCA: A method to distinguish common and distinctive information in coupled dataMartijn SchoutedenKU Leuven | |
| Abstract: | It often occurs that data are collected that consist of different data blocks that all contain information about the same entities (e.g., items, persons, situations). In order to unveil both information that is common to all data blocks and information that is distinctive for one (or a few) of them, an integrated analysis of the data is most useful. An interesting class of methods for such an integrated analysis are simultaneous component methods. With these methods, underlying dimensions are obtained that maximally account for the variance in all data blocks. Unfortunately, in results from these methods common and distinctive information are mixed up. This paper proposes a novel method to disentangle the two kinds of information, making use of the rotational freedom of the component model. We illustrate with data from a cross-cultural study of emotions. |
| Date: | Tue Apr 28, 12:15 pm - 1:15 pm |
| Place: | room 02.51 (Department of Psychology, Tiensestraat 102, 3000 Leuven) |