Hemphill Sheryl A, Heerde Jessica A, Herrenkohl Todd I, Farrington David P
Learning Sciences Institute Australia and School of Psychology, Australian Catholic University, Australia; Department of Paediatrics, The University of Melbourne, Australia; Centre for Adolescent Health, Murdoch Childrens Research Institute, Australia & School of Psychology, Deakin University, Australia.
Learning Sciences Institute Australia, Australian Catholic University, Australia.
Aust N Z J Criminol. 2015 Sep;48(3):429-445. doi: 10.1177/0004865815589829. Epub 2015 Aug 7.
In an influential 2002 paper, Farrington and colleagues argued that to understand 'causes' of delinquency, within-individual analyses of longitudinal data are required (compared to the vast majority of analyses that have focused on between-individual differences). The current paper aimed to complete similar analyses to those conducted by Farrington and colleagues by focusing on the developmental correlates and risk factors for antisocial behaviour and by comparing within-individual and between-individual predictors of antisocial behaviour using data from the youngest Victorian cohort of the International Youth Development Study, a state-wide representative sample of 927 students from Victoria, Australia. Data analysed in the current paper are from participants in Year 6 (age 11-12 years) in 2003 to Year 11 (age 16-17 years) in 2008 ( = 791; 85% retention) with data collected almost annually. Participants completed a self-report survey of risk and protective factors and antisocial behaviour. Complete data were available for 563 participants. The results of this study showed all but one of the forward- (family conflict) and backward-lagged (low attachment to parents) correlations were statistically significant for the within-individual analyses compared with all analyses being statistically significant for the between-individual analyses. In general, between-individual correlations were greater in magnitude than within-individual correlations. Given that forward-lagged within-individual correlations provide more salient measures of causes of delinquency, it is important that longitudinal studies with multi-wave data analyse and report their data using both between-individual and within-individual correlations to inform current prevention and early intervention programs seeking to reduce rates of antisocial behaviour.
在2002年一篇颇具影响力的论文中,法林顿及其同事认为,要理解犯罪行为的“成因”,需要对纵向数据进行个体内分析(与绝大多数聚焦于个体间差异的分析形成对比)。本文旨在通过关注反社会行为的发展相关因素和风险因素,并利用国际青少年发展研究中维多利亚州最年轻队列的数据,比较反社会行为的个体内预测因素和个体间预测因素,来完成与法林顿及其同事所做研究类似的分析。该研究数据来自澳大利亚维多利亚州927名学生的全州代表性样本。本文所分析的数据来自2003年六年级(11 - 12岁)至2008年十一年级(16 - 17岁)的参与者((n = 791);保留率85%),数据几乎每年收集一次。参与者完成了一份关于风险和保护因素以及反社会行为的自我报告调查。563名参与者有完整数据。本研究结果表明,与个体间分析所有结果均具有统计学显著性相比,个体内分析中除一项(家庭冲突)外,向前(家庭冲突)和向后滞后(对父母的低依恋)相关性均具有统计学显著性。总体而言,个体间相关性的幅度大于个体内相关性。鉴于向前滞后的个体内相关性为犯罪行为成因提供了更显著的衡量指标,重要的是,拥有多波数据的纵向研究应使用个体间和个体内相关性来分析和报告数据,以为当前旨在降低反社会行为发生率的预防和早期干预项目提供信息。