Longitudinal Analysis of Adolescents Deviant and Delinquent Behavior: Applications of Latent Class

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Jost Reinecke
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引用次数: 122

Abstract

This article presents applications of different growth mixture models considering unobserved heterogeneity within the framework of Mplus (Muthen & Muthen, 2001a, 2001b, 2004). Latent class growth mixture models are discussed under special consideration of count variables that can be incorporated into the mixtures via the Poisson and the zero-inflated Poisson model. Fourwave panel data from a German criminological youth study (Boers et al., 2002) is used for the model analyses. Three classes can be obtained from the data: Adolescents with almost no deviant and delinquent activities, a medium proportion of adolescents with a low increase of delinquency, and a small number with a larger growth starting on a higher level. Considering the zero inflation of the data results in better model fits compared to the Poisson model only. Linear growth specifications are almost sufficient. The conditional application of the mixture models includes gender and educational level of the schools as time-independent predictor...
青少年越轨和犯罪行为的纵向分析:潜在类别的应用
本文介绍了在Mplus框架内考虑未观察到的异质性的不同生长混合模型的应用(Muthen & Muthen, 2001a, 2001b, 2004)。在特别考虑可以通过泊松模型和零膨胀泊松模型纳入混合模型的计数变量的情况下,讨论了潜在类生长混合模型。来自德国犯罪学青年研究(Boers et al., 2002)的四波面板数据被用于模型分析。从数据中可以得出三个类别:几乎没有越轨和犯罪活动的青少年,中等比例的青少年犯罪增长率低,少数青少年从更高的层次开始增长较大。与泊松模型相比,考虑数据的零膨胀可以得到更好的模型拟合。线性增长规格几乎就足够了。混合模型的条件应用包括学校性别和教育水平作为时间无关的预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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