Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions.

The study reveals similar patterns of patients with depression, social anxiety, and panic disorder regarding online activity and intervention dropout. As such, this work offers pooling different interventions' data as a possible approach to counter the problem of small dataset sizes in psychological research.