Psychometric prediction of penitentiary recidivism

Psicothema. 2016 May;28(2):194-200. doi: 10.7334/psicothema2015.269.

Abstract

Background: Attempts to predict prison recidivism based on the personality have not been very successful. This study aims to provide data on recidivism prediction based on the scores on a personality questionnaire. For this purpose, a predictive model combining the actuarial procedure with a posteriori probability was developed, consisting of the probabilistic calculation of the effective verification of the event once it has already occurred.

Method: Cuestionario de Personalidad Situacional (CPS; Fernández, Seisdedos, & Mielgo, 1998) was applied to 978 male inmates classified as recidivists or non-recidivists.

Results: High predictive power was achieved, with the area under the curve (AUC) of 0.85 (p <.001; Se = 0.012; 95% CI [0.826, 0.873]. The answers to the CPS items made it possible to properly discriminate 77.3% of the participants.

Conclusions: These data indicate the important role of the personality as a key factor in understanding delinquency and predicting recidivism.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Crime / psychology*
  • Forecasting
  • Humans
  • Male
  • Personality Tests
  • Personality*
  • Prisoners / psychology*
  • Psychometrics