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Evaluation of Recidivism Data

Author

Listed:
  • Russell R. Barton

    (RCA Laboratories)

  • Bruce W. Turnbull

    (Cornell University)

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 example

Suggested Citation

  • Russell R. Barton & Bruce W. Turnbull, 1979. "Evaluation of Recidivism Data," Evaluation Review, , vol. 3(4), pages 629-641, November.
    • Handle: RePEc:sae:evarev:v:3:y:1979:i:4:p:629-641
    DOI: 10.1177/0193841X7900300407
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    References listed on IDEAS

    as
    1. Stephen Stollmack & Carl M. Harris, 1974. "Failure-Rate Analysis Applied to Recidivism Data," Operations Research, INFORMS, vol. 22(6), pages 1192-1205, December.
    2. R. Kay, 1977. "Proportional Hazard Regression Models and the Analysis of Censored Survival Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 227-237, November.
    3. Ann D. Witte & Peter Schmidt, 1977. "An Analysis of Recidivism, Using the Truncated Lognormal Distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 302-311, November.
    4. Bruce W. Turnbull, 1977. "Technical Note—A Note on the Nonparametric Analysis of the Stollmack-Harris Recidivism Data," Operations Research, INFORMS, vol. 25(4), pages 706-708, August.
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