The purpose of this study is to compare with three juvenile delinquency theories onadolescents' status offenses including Hirschi's social bonding theory, Agnew's general straintheory, and Akers' social learning theory. The data derived from a sample of 2,337 middleschool students taken from National Youth Policy Institute in 2011-2012. Multiple OLSregression analysis revealed that variables from social learning theory were strongly supportedas an explanation for adolescents' status offenses, while variables from general strain theorywere not supported. The social learning model explained 12.0% of the variance inadolescents' status offenses. However, general strain variables explained 2.6% of the variancein the dependant variable and 6.2% of the variance in adolescents' status offenses wereexplained by the social bonding variables. The present research made important contributionsthe further utilization of social learning in investigating many of the damaging forms of socialdeviance which exist in our society.
The purpose of this study is to compare with three juvenile delinquency theories onadolescents' status offenses including Hirschi's social bonding theory, Agnew's general straintheory, and Akers' social learning theory. The data derived from a sample of 2,337 middleschool students taken from National Youth Policy Institute in 2011-2012. Multiple OLSregression analysis revealed that variables from social learning theory were strongly supportedas an explanation for adolescents' status offenses, while variables from general strain theorywere not supported. The social learning model explained 12.0% of the variance inadolescents' status offenses. However, general strain variables explained 2.6% of the variancein the dependant variable and 6.2% of the variance in adolescents' status offenses wereexplained by the social bonding variables. The present research made important contributionsthe further utilization of social learning in investigating many of the damaging forms of socialdeviance which exist in our society.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.