Evaluation of Recidivism Data
- 1 November 1979
- journal article
- other
- Published by SAGE Publications in Evaluation Quarterly
- Vol. 3 (4) , 629-641
- https://doi.org/10.1177/0193841x7900300407
Abstract
Some recent papers have demonstrated the usefulness of failure rate methods in the evaluation of data from recidivism studies and other programs involving behavioral change. We extend the discussion to show the applicability of recently developed failure rate regression techniques Such methods allowing for covariates are important for construct validity, adjusting for bias in observational studies, and in identifying factors associated with successful outcomes One technique presented here allows for time varying covariates and does not require any particular parametric assumption about the time-to-failure distribution. Recidivism data from a Connecticut parolee study are used as an exampleKeywords
This publication has 14 references indexed in Scilit:
- Two new unconstrained optimization algorithms which use function and gradient valuesJournal of Optimization Theory and Applications, 1979
- Technical Note—A Note on the Nonparametric Analysis of the Stollmack-Harris Recidivism DataOperations Research, 1977
- The Mathematics of Behavioral ChangeEvaluation Quarterly, 1977
- Covariance Analysis of Heart Transplant Survival DataJournal of the American Statistical Association, 1977
- Work Release and RecidivismEvaluation Quarterly, 1977
- Proportional Hazard Regression Models and the Analysis of Censored Survival DataJournal of the Royal Statistical Society Series C: Applied Statistics, 1977
- Least squares regression with censored dataBiometrika, 1976
- Failure-Rate Analysis Applied to Recidivism DataOperations Research, 1974
- POST‐PRISON SUCCESS PREDICTION A Preliminary Florida StudyCriminology, 1974
- A Rapidly Convergent Descent Method for MinimizationThe Computer Journal, 1963