Clinical Significance Analysis
Clinical significance analysis is a method for deciding whether an individual client's change after treatment is not only statistically reliable but also meaningful in real-world terms — specifically, whether the client has moved out of the dysfunctional range and into the range typical of a functional or non-clinical population. Formalized by Neil Jacobson and Paula Truax in 1991, it combines a reliable-change criterion with a clinical cutoff to sort each client into categories such as recovered, improved, unchanged, or deteriorated, complementing group-level statistics that say nothing about individual benefit.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Jacobson, N. S., & Truax, P. (1991). Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59(1), 12–19. · DOI 10.1037/0022-006X.59.1.12
- Jacobson, N. S., Roberts, L. J., Berns, S. B., & McGlinchey, J. B. (1999). Methods for defining and determining the clinical significance of treatment effects: Description, application, and alternatives. Journal of Consulting and Clinical Psychology, 67(3), 300–307. · DOI 10.1037/0022-006X.67.3.300
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.