Psychometric prediction of penitentiary recidivism
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How to Cite

Medina García, P. M., & Baños Rivera, R. M. (2016). Psychometric prediction of penitentiary recidivism. Psicothema, 28(Número 2), 194–200. Retrieved from https://reunido.uniovi.es/index.php/PST/article/view/11178

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.
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