In search of lost time: Discrete- versus continuous-time models of working alliance and symptom severity.

Objective: The therapeutic alliance is one of the most stable predictors of symptom burden over the course of therapy. So far, this effect has only been examined on the basis of sessions. Continuous-time models (CTM) allow this relationship to be modeled as a continuous process in which the actual time interval between measurements is considered.

[The Effect of Therapists' Interpersonal Skills on Therapeutic Alliance].

Objective: Therapists' interpersonal skills play a significant role in outcome differences between therapists. Similarly, the strength of the therapeutic alliance is influenced by therapist characteristics. Therefore, the aim of this study was to capture therapist differences in the alliance and to examine the effect of therapists' interpersonal skills on the therapeutic alliance.

If You Give a Therapist a Network: A Qualitative Analysis of Therapists' Reactions to Their Patients' EMA-Based Network Models.

Objective: Network models hold much promise for use in the form of personalized feedback, which the TheraNet Project aims to investigate. In the present study, we share therapists' first reactions to patient network models based on ecological momentary assessment (EMA) data.

Method: Therapists (N = 24) were taught to interpret the network models based on their patient's data.

Emotion regulation use in daily-life and its association with success of emotion-regulation, self-efficacy, stress, and state rumination.

Introduction: Investigations on emotion regulation strategies (ERS) primarily focus on the influence of instructed emotion regulation (ER) on outcomes. However, recent work has shown that selection of ERS is dependent on, e.g.