I m proved Statistical Techniques for the Measurement of Recidivism
- 1 July 1978
- journal article
- Published by SAGE Publications in Journal of Research in Crime and Delinquency
- Vol. 15 (2) , 194-213
- https://doi.org/10.1177/002242787801500206
Abstract
In a recent paper in this journal, Kantrowitz discussed the use of cohort conditional-life tables in the analysis of correctional outcomes, and referred to some related work by Stollmack and Harris on failure-rate analysis. These two approaches are indeed closely related, but the latter does provide some important additional statistical power not otherwise available. These kinds of methodologies provide key insights on program performance and ultimately permit more appropriate statistical assessment of alternative correctional pro grams. The purpose of this paper then is to bring the criminal justice, and crime and delinquency research, communities up to date on developments in the application of failure-rate methods. The fundamental concept used in the approach is the modeling of program outcomes as failure patterns or rates over time. The method has been applied in a number of specific cases, includ ing to the data from Kantrowitz's California parole study.Keywords
This publication has 8 references indexed in Scilit:
- Technical Note—A Note on the Nonparametric Analysis of the Stollmack-Harris Recidivism DataOperations Research, 1977
- The Mathematics of Behavioral ChangeEvaluation Quarterly, 1977
- How to Shorten the Follow-up Period in Parole StudiesJournal of Research in Crime and Delinquency, 1977
- A Ratio-Type Goodness-of-Fit Test for 2-Parameter Weibull DistributionsIEEE Transactions on Reliability, 1976
- California Research at the CrossroadsCrime & Delinquency, 1976
- A note on testing for exponentialityNaval Research Logistics Quarterly, 1976
- Queueing Models of Community Correctional Centers in the District of ColumbiaManagement Science, 1975
- Failure-Rate Analysis Applied to Recidivism DataOperations Research, 1974