A cognitive latent variable model for the simultaneous analysis of behavioral and personality data

• Cognitive models and latent variable models are combined into a single framework.
• The framework can be applied in a Bayesian inferential context.
• An application uses data from an RT experiment and questionnaires in a single model.

I describe a cognitive latent variable model, a combination of a cognitive model and a latent variable model that can be used to aggregate information regarding cognitive parameters across participants and tasks. The model is ideally suited for uncovering relationships between latent task abilities as they are expressed in experimental paradigms, but can also be used as data fusion tools to connect latent abilities with external covariates from entirely different data sources. An example application deals with the structure of cognitive abilities underlying an executive functioning task and its relation to personality traits.