Date of Award

1-1-2016

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

School of Criminal Justice

Content Description

1 online resource (xi, 172 pages) : illustrations

Dissertation/Thesis Chair

Alan Lizotte

Committee Members

Marvin Krohn, Megan Kurlychek, David McDowall, Dana Peterson

Keywords

anticipated early death, fatalism, gang, longitudinal, violence, Gangs, Youth and violence, Premature death, Violence chez les jeunes, Mortalité prématurée

Subject Categories

Criminology

Abstract

Strategies employed by criminal justice agencies to reduce offending often focus on deterrence, with policies relying on the threat of punishment to discourage individuals from crime. However, such strategies will fail if individuals do not fear these consequences, or when potential rewards of offending outweigh the risks. According to life history theory, adolescents with a dangerous or unpredictable childhood environment discount the future and engage in risky behaviors because they have little to lose. Many adolescents embody this “live fast, die young” mentality, particularly those already at risk of delinquency due to other factors. The scientific literature refers to this mindset as fatalism, future discounting, or anticipated early death (AED). Despite the indication that AED is a crucial correlate of delinquent activity, only recently have criminologists begun to directly examine the relationship. To address this gap in the literature, this dissertation analyzes two longitudinal datasets. One dataset, the National Longitudinal Study of Adolescent Health (Add Health), offers a nationally representative sample, while the Rochester Youth Development Study (RYDS) provides a sample of at-risk youth in Rochester, New York. Structural equation modeling quantifies adolescent AED in each dataset. The use of two data sources strengthens the reliability and validity of the latent variable’s measurement. I study the effects of the latent AED measures on adolescent violence and gang activity, finding that higher levels of AED correspond to a greater likelihood of violence and gang activity, with the relationships often mediated by low self-control. In an attempt to determine the causal ordering of AED and risk-taking behaviors, I exploit the longitudinal nature of the RYDS data by estimating autoregressive cross-lagged panel models. Findings lend support to life history theory’s assumption that AED predicts risk-taking behavior; I find little evidence that violence or gang activity cause AED.

Download

Included in

Criminology Commons

Share

COinS