@article{ref1,
title="Analyzing the presence and consequences of unobserved heterogeneity in recidivism research",
journal="Crime and delinquency",
year="2016",
author="Morris, Robert G. and Barnes, J. C. and Worrall, John L. and Orrick, Erin A.",
volume="62",
number="2",
pages="229-252",
abstract="This study extends research on recidivism by examining the phenomenon via a survival mixture modeling approach, a method that is analogous to mixture modeling approaches used in trajectory analyses. Using this approach, the authors discover that multiple recidivism profiles are identifiable within a random sample of inmates released from Florida prisons between January 1998 and June 2001. <br><br>FINDINGS revealed that certain covariates predicted class membership and operated differently across the groups in predicting the hazard of recidivism, suggesting that a unilateral approach to reducing recidivism risk is an ineffective strategy. The Discussion section presents the findings in the context of theory, research, and policy.<p /> <p>Language: en</p>",
language="en",
issn="0011-1287",
doi="10.1177/0011128713495952",
url="http://dx.doi.org/10.1177/0011128713495952"
}