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A META‐ANALYSIS OF THE PREDICTORS OF ADULT OFFENDER RECIDIVISM: WHAT WORKS!*

GENDREAU, PAUL, LITTLE, TRACY, GOGGIN, CLAIRE·1996·Criminology
DOI 10.1111/j.1745-9125.1996.tb01220.x
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Abstract

Meta‐analytic techniques were used to determine which predictor domains and actuarial assessment instruments were the best predictors of adult offender recidivism. One hundred and thirty‐one studies produced 1,141 correlations with recidivism. The strongest predictor domains were criminogenic needs, criminal history/history of antisocial behavior, social achievement, age/gender/race, and family factors. Less robust predictors included intellectual functioning, personal distress factors, and socioeconomic status in the family of origin. Dynamic predictor domains performed at least as well as the static domains. The LSI‐R was identified as the most useful actuarial measure. Recommendations for developing sound assessment practices in corrections are provided.

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  • The importance of age and total number of previous convictions is consistent with the conclusions of two meta-analysis studies.

    “The importance of these two criteria is consistent with the conclusions of two meta-analysis studies that set out to determine, in part, which criteria are most predictive of recidivism (8, 9).”

    From The accuracy, fairness, and limits of predicting recidivism (2018) · cites this paper as [8]

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Metadata

Authors
GENDREAU, P., LITTLE, T., & GOGGIN, C.
Venue
Criminology
Publisher
Wiley
Published
1996-11
Volume
34
Issue
4
Pages
575-608
ISSN
  • 0011-1384
  • 1745-9125
DOI
10.1111/j.1745-9125.1996.tb01220.x
Cited by
1,244
References
0
Language
en
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor, 3413 d)

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