Variables predicting success at a child and adolescent treatment center
Jack Berkley (1996)
This is s site-specific, single-sample, correlational study of clinical and demographic variables hypothesized to predict success at a child and adolescent, day and residential treatment center (RTC). The study employs Logistic Regression Analysis (LRA) to archival case data using an outcome measure developed by the study-site staff. Potential prognostic variables were selected from the literature. The LRA constructed a two-variable model that associated higher IQ and the decreased frequency of learning disabilities with success at time of discharge. Because prognostic studies are wedded to the treatment competencies and culture of each site, the non-generalizability of predictive studies is asserted. The consultative use of site-specific predictive profiles for administrative and clinical discussions about admissions criteria and treatment planning is advocated.