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Predicting treatment process and outcome using temporal dynamics of supervisory working alliance
1Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, People's Republic of China.
Summary
Supervisory working alliance (SWA) dynamics matter. Anti-phase responsiveness and SWA variability in supervision correlate with better client outcomes and session evaluations, suggesting a balanced approach benefits therapy.
Area of Science:
- Psychology
- Clinical Supervision
- Psychotherapy Research
Background:
- The supervisory working alliance (SWA) is crucial for effective clinical supervision.
- Understanding the temporal dynamics of SWA and its impact on treatment is essential.
Purpose of the Study:
- To examine the temporal dynamics of supervisor- and supervisee-rated SWA.
- To investigate the relationship between SWA dynamics and treatment process/outcome.
Main Methods:
- Longitudinal actor-partner interdependence model used with 28 supervisory dyads.
- Supervisory working alliance (SWA) rated weekly; client outcomes (OQ-45) and session evaluations collected.
- Analyzed 'anti-phase' responsiveness (dyadic SWA fluctuations) and SWA variability (rupture/repair).
Main Results:
- Greater 'anti-phase' responsiveness in supervisory dyads predicted greater client OQ improvement.
- Higher SWA variability in supervision was associated with better client session evaluations and OQ improvement.
- These findings highlight the importance of dynamic SWA fluctuations for therapeutic success.
Conclusions:
- Maintaining a dynamic equilibrium in SWA may enhance the consultant's perspective.
- SWA variability potentially reflects deeper, more productive supervisory work.
- Dynamic SWA processes are linked to improved client outcomes in psychotherapy.
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