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Prognosticating Offending in Early Adulthood: How Early Can We Predict?

NCJ Number
307857
Journal
Journal of Quantitative Criminology Dated: 2022
Date Published
2022
Annotation

The authors of this paper report on their analysis of the prognostic capacity to predict offending outcomes in early adulthood derived from various developmental theories, considering how early in adolescence the trajectory models calibrate prediction; they discuss the results of their tests and suggest that existing developmental theories move beyond cataloging risk factors and focus on human agency in life-course patterns of offending.

Abstract

Extant tests of developmental theories have largely refrained from moving past testing models of association to building models of prediction, as have other fields with an intervention focus. With this in mind, we test the prognostic capacity to predict offending outcomes in early adulthood derived from various developmental theories. Methods Using 734 subjects from the Rochester Youth Development Study (RYDS), we use out-of-sample predictions based on 5-fold cross-validation and compare the sensitivity, specificity, and positive predictive value of three different prognostic models to predict arrest and serious, persistent offending in early adulthood. The first uses only predictors measures in early adolescence, the second uses dynamic trajectories of delinquency from ages 14-22, and the third uses a combination of the two. We further consider how early in adolescence the trajectory models calibrate prediction. Results Both the early adolescent risk factor only model and the dynamic trajectory model were poor at prognosticating both arrest and persistent offending in early adulthood, which is manifest in the large rate of false positive cases. Furthermore, existing developmental theories would be well served to move beyond cataloging risk factors and draw more heavily on refinements, including a greater focus on human agency in life course patterns of offending. (Published Abstract Provided)

Date Published: January 1, 2022