Advances in Methods and Practices in Psychological Science

Abstract

A common goal of researchers using intensive longitudinal data is to develop models that predict emotions or behaviors, often using passively collected data from smartphone sensors or wearable devices. A frequent use case for such models is the ...

Abstract

Computational cognitive models offer powerful means for testing competing theoretical frameworks. A central challenge is determining which model best explains observed data, balancing goodness of fit with parsimony. Several fruitful approaches to model ...