Piecewise Growth Mixture Modeling of Adolescent Alcohol Use Data

Piecewise Growth Mixture Modeling of Adolescent Alcohol Use Data
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DOI:
10.1207/s15328007sem0802_2
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发表时间:
2001-01-01
影响因子:
6
通讯作者:
Hops, Hyman
Hops, Hyman
中科院分区:
心理学2区
文献类型:
--
作者:
Li, Fuzhong;Duncan, Terry E.;Hops, Hyman

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这篇文章解决了多阶段发展的异质性问题,因为它对应于青春期酒精使用的质量不同的发展。使用Muthen提出的分段混合增长建模方法(已出版),对从中学(11至13岁)到高中(14至17岁;N = 81)过渡期间青少年酒精使用的两段线性增长模型进行了检验。假设这些数据中存在两个不同轨迹的酒精使用发展阶段,第一个阶段对应于中学时期的发展(增长率1),其次是高中时期持续增长的第二阶段(增长率2)。结果表明,酒精使用的2件线性发展是站住脚的,并且出现了两个潜在的类别,它们的过渡点各不相同。1班仅在高中阶段呈线性增长,而2班在整个初中和高中阶段呈持续的线性增长。研究结果表明,所研究的样本种群是异质性的,由2个亚种群组成,每个亚种群都有其独特的生长轨迹和单独变化的过渡生长过程。分段增长混合建模方法可能为研究人员提供有关青少年物质使用发展的定性差异的深刻信息,以及涉及评估项目有效性的干预研究的潜在有用的建模技术。
This article addresses issues of heterogeneity in multiple-stage development as it corresponds to qualitatively different development in alcohol use during adolescence. Using a piecewise growth mixture modeling methodology proposed by Muthen (in press), a 2-piece linear growth model capturing growth trajectories in adolescent alcohol use during the transition from middle school (ages 11 to 13) to high school (ages 14 to 17; N = 81) was examined. It was hypothesized that 2 stages of alcohol use development with varying trajectories would exist in these data, the 1st corresponding to development during middle school (Growth Rate 1), followed by a 2nd stage of continuing growth during high school (Growth Rate 2). Results suggested the tenability of the 2-piece linear development in alcohol use and the emergence of 2 latent classes with individually varying transition points. Class 1 showed linear increases only during high school, whereas Class 2 showed a continued, linear growth throughout the middle and high school years. Findings suggest that the sample population under study is heterogeneous and consists of 2 subpopulations, each defined by its unique growth trajectories and individually varying transitional growth processes. The piecewise growth mixture modeling approach is likely to provide researchers with insightful information regarding qualitative differences in adolescent substance use development as well as a potentially useful modeling technique for intervention studies involving evaluation of program effectiveness.