Therapeutic alliance, subsequent change, and moderators of the alliance–outcome association in interpersonal psychotherapy for depression.
Why this work is in the frame
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Bibliographic record
Abstract
The therapeutic alliance has historically emerged as a pantheoretical correlate of favorable psychotherapy outcomes. However, uncertainty remains about the direction of the alliance-outcome link, and whether it is affected by other contextual variables. The present study explored (a) if early alliance quality predicted subsequent symptom change while controlling for the effect of prior symptom change in interpersonal psychotherapy (IPT) for depression, and (b) whether baseline patient characteristics moderated the alliance-outcome relation (to help specify conditions under which alliance predicts change). Data derived from an open trial of 16 sessions of individual IPT delivered naturalistically to adult outpatients (N = 119) meeting criteria for major depression. Patients rated their sociodemographic, clinical, and interpersonal characteristics at baseline, their alliance with their therapist at Session 3, and their depressive symptoms at baseline, after every session, and at posttreatment. Data were analyzed using hierarchical linear modeling. Results indicated that alliance quality did not predict subsequent depression change, controlling for prior depression change. However, a significant education by alliance interaction emerged in predicting quadratic depression change (γ = .0007, p = .03); patients with higher levels of education who reported good early alliances with their therapists had the most positively accelerated change trajectory (i.e., faster depression reduction), whereas patients with higher levels of education who reported poorer early alliances had the most negatively accelerated change trajectory (i.e., slower depression reduction). The findings may help clarify a specific condition under which alliance quality influences subsequent improvement in an evidence-based treatment for depression. (PsycINFO Database Record
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it