FINITE MIXTURE MODELING OF ADOLESCENT ALCOHOL USE

青少年酒精使用的有限混合建模

• 批准号: 6191274
• 负责人: FUZHONG LI
• 金额: $ 15.69万
• 依托单位: OREGON RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2002-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6191274
• 关键词: adolescence (12-20); alcoholism /alcohol abuse; behavioral /social science research tag; clinical research; data collection methodology /evaluation; human data; model design /development; social model; substance abuse epidemiology; substance abuse related behavior

APPLICANT'S ABSTRACT: A recent methodological advance in structural equation modeling is that of latent variable mixture modeling where a population under study is partitioned into an unknown number of latent classes and with which, different means and covariance structures are associated. Integrating methodological works from the mixture modeling literature, Muthen and colleagues (Muthen, in press; Muthen et al., 1998) proposed a general growth mixture modeling framework appropriate for analyzing change in data sets that involve heterogeneous subpopulations. The approach combines latent class and latent growth models and provides a framework for modeling growth functions of varying subpopulations, each with its own growth shape, predictors, concurrent covariates, and outcomes. This newly developed methodology is of practical importance in understanding heterogeneity corresponding to qualitatively different developmental processes. In this proposal, we will make use of the growth mixture modeling method to examine multiple developmental pathways in adolescent alcohol and other substance use and related problem behaviors, using existing longitudinal data sets. Specifically, within the theoretical framework of the social contextual model posited by Patterson et al.(1992), the proposed study will extend current research by examining developmental heterogeneity in adolescent alcohol use and other related problem behaviors (e.g., antisocial behavior) and by identifying varying influences (e.g., parental practices, peer associations, and other common risk and protective factors) associated with heterogeneous populations.

申请者摘要：结构方程方法学的最新进展 建模是一种潜在变量混合建模，其中总体处于 研究被划分为未知数量的潜在类， 不同的均值和协方差结构是相关的。集成 来自混合建模文献的方法论著作，Muten和 同事们(Muten，在媒体；Muten等人，1998)提出了一个普遍的增长 适用于分析数据集中的变化的混合建模框架 涉及不同的亚群。该方法将潜在类和隐含类相结合 潜在增长模型，并提供了一个框架，用于对 不同的子群体，每个子群体都有自己的增长形状、预测因素、并发 协变量和结果。这种新发展的方法论是有实用价值的。 理解与定性相对应的异质性的重要性 不同的发育过程。在这项建议中，我们将利用 用生长混合建模方法检验儿童的多条发育途径 青少年酒精和其他物质的使用及相关问题行为， 使用现有的纵向数据集。具体地说，在理论上 Patterson等人(1992)提出的社会语境模型的框架， 这项拟议的研究将通过检查发展中的 青少年饮酒和其他相关问题行为的异质性 (例如，反社会行为)并通过识别不同的影响(例如， 父母做法、同伴交往以及其他常见风险和保护措施 因素)与异质群体相关。