In this study, we introduce the journal issue devoted to evidence‐based responsiveness and
frame it within the work of the third interdivisional APA Task Force on Evidence‐Based …

Abstract Machine learning (ML) offers robust statistical and probabilistic techniques that can
help to make sense of large amounts of data. This scoping review paper aims to broadly …

The therapeutic value of alliance is a contested supposition. Although many theorists and
researchers believe that alliance is therapeutic in itself, others see it as a byproduct of …

Hundreds of studies suggest that the patient–therapist alliance is the most consistent
predictor of treatment outcome across patients, therapists, types of treatment and settings …

For the past hundred years, mechanisms of change have been the black box of
psychotherapy. Thousands of studies failed to produce consistent findings, even concerning …

This review focuses on patient factors (across the overarching classes of demographics,
mental health, beliefs and preferences, intrapsychic, interpersonal, and contributions to the …

Objective Long‐term effectiveness is a critical aspect of the clinical utility of a treatment;
however, a meta‐analytic evaluation of psychological and medical treatments for binge …

Background Machine learning (ML) offers vigorous statistical and probabilistic techniques
that can successfully predict certain clinical conditions using large volumes of data. A review …

Significant progress has been achieved in the last decades in studying two central questions
in psychotherapy research: what treatment works for which patient and why does treatment …

Background: Despite repeated discussion of treatment safety, there remains little
quantitative research directly addressing the potential of therapy to harm. In contrast, there …