Exploratory analyses
depressive, anxiety disorder
REGRESSION, DISORDER
Comparison of the two active conditions: As described in the section objectives {7}, we do not have any a priori predictions about the superiority of one of the two app-based interventions over the other intervention. To explore potential differences in the outcome variables at post-intervention between the two active conditions, we plan to conduct a Bayesian analysis. In contrast to frequentist analyses, in which the absence of a significant effect cannot be considered as proof for the null hypothesis, in Bayesian analyses, the strength of evidence for two competing hypotheses can be assessed [Effects at follow-up: All analyses will be adapted to test whether the predicted effects and potential differences between the two active conditions extend to the follow-up timepoint.Effects on diagnoses: Logistic regression analyses will be conducted to explore whether the app-based interventions decrease the probability of fulfilling the criteria (as indexed by standard cut-offs on self-report questionnaires) for a depressive episode, generalized anxiety disorder, and social anxiety disorder at post-intervention and/or follow-up.