Predicting Moffitt's Developmental Taxonomy of Antisocial Behavior Using Life History Theory: A Partial Test of the Evolutionary Taxonomy

Author:

Nedelec Joseph L.1ORCID,DiRienzo Francesco1ORCID

Affiliation:

1. School of Criminal Justice, University of Cincinnati, Cincinnati, OH, USA

Abstract

Evolutionary criminology is an approach to the understanding of crime and criminality that is based in part on key aspects of evolutionary psychology. The approach allows for a renewed examination of traditional criminological assumptions and can serve to further enhance theoretical viewpoints on antisocial behavior. The recently developed evolutionary taxonomy theory is an example of such an approach. Relying on the tenets of life history theory, the evolutionary taxonomy was proposed as a theoretical scaffolding for Moffitt's developmental taxonomy of offending. While recent tests of the evolutionary taxonomy have been informative, lacking from the existing literature is an assessment of the extent to which measures of life history theory can predict classification into offending groups based on Moffitt's developmental taxonomy. The current study provided a partial test of classification predictions using the National Longitudinal Study of Adolescence to Adult Health study ( n  =  12,012). Results of multivariable regression analyses indicated that measures associated with somatic effort and aspects of the developmental environment were predictive of group classification, but measures associated with reproductive effort were not. Implications for evolutionary criminology and traditional criminology are discussed.

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,General Medicine,Social Psychology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3