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Logistic Versus Hazards Regression Analysis in Evaluation Research: An Exposition and Application to the North Carolina Court Counselors' Intensive Protective Supervision Project

NCJ Number
155826
Journal
Evaluation Review Volume: 18 Issue: 4 Dated: (August 1994) Pages: 411-437
Author(s)
K C Land; P L McCall; K F Parker
Date Published
1994
Length
27 pages
Annotation
Using data from the North Carolina Court Counselors' Intensive Protective Supervision Project, which provides intensive supervision for status offenders who are placed under the protective supervision of the State's juvenile courts, this article compares the advantages of employing logistic and hazards regression analyses in assessing the overall impact of the treatment program and the extent to which the impact varies among client groups.
Abstract
Implementation of the logistic and hazards regression analyses provided more detailed interpretations of the impact of the program than less sophisticated statistical techniques. The logistic regression analysis reconfirmed previous findings that the treatment decreased the likelihood that a youthful offender would receive either a status or delinquent offense recidivism during the first 18 months, but these effects diminished over the full three and one-half years of the project. Hazards regression analysis showed that youths in the experimental group failed earlier in the observation period in the first as well as the last half of the project, compared to youth in the control group. Results also showed that girls were more likely to recidivate with a status offense while boys recidivated with a delinquent offense. 4 figures, 5 tables, 7 notes, and 23 references