Therapist-Client Alliance Congruence and Mental Health Outcomes Dataset

John Robert Rilveria's 2026 study data examines the alignment between therapist and client ratings of their therapeutic relationship. The 84.6 KB dataset likely contains variables for alliance congruence, symptom severity, and psychological distress. Polynomial regression and response surface analysis were used to model the associations between alliance ratings and clinical outcomes.

Use Cases

• Modeling the effect of alliance congruence on symptom severity using polynomial regression.
• Comparing therapist-rated versus client-rated outcome associations with seemingly unrelated regression (SUR).
• Analyzing alliance incongruence and asymmetry in relation to psychological distress.
• Training statistical models for response surface analysis (RSA) in clinical psychology.

Strengths

• Data is openly licensed under CC-BY-4.0.
• File size is 84.6 KB, indicating a focused and manageable dataset.
• Analysis methods (RSA, SUR) are explicitly described in the study.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by John Robert Rilveria.

Collection Method

Data from a study examining therapist-client alliance congruence.

Freshness

Last updated 2026-04-18 06:17:43; freshness should be verified.