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儿童青少年研究中基于追踪设计的统计方法及具体应用

Statistic Methods for Longitudinal Design and its Application to Child and Adolescent Research
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摘要 追踪研究设计在国内外对儿童青少年的研究中具有重要的作用,因为这一设计可以分析某个特质随时间变化的轨迹或者不同个体间随时间变化的差异。在梳理儿童青少年研究中基于追踪设计常用的方差分析、回归分析、交叉滞后分析、多层线性模型和潜变量混合增长模型等统计方法后,提出了一些在其他领域追踪数据中使用的方法,如时间序列中的随机线性动态系统和生存分析法,为未来我国开展儿童青少年的追踪研究提供新的思路和方向。 Longitudinal design has a critical role in the child and adolescent research because this method can analyze the trajectory of a certain characteristic or the differences between individuals over time. This paper introduces some common statistic methods for longitudinal design in application for child and adolescent, such as ANOVA( analysis of variance) , regression analysis, cross-lagged analysis, hier- archical linear model, and latent growth mixed model, as well as some research cases of these methods. Some other methods like stochastic linear dynamic systems and survival analysis used in other fields are mentioned in the last part of the paper to give a new perspective to this field.
出处 《青年学报》 2016年第1期45-49,共5页 Youth Research
基金 国家自然科学基金青年科学基金项目(31500901) 上海市哲学社会科学规划课题(2013JJY002)
关键词 追踪研究方法 方差分析 交叉滞后分析 多层线性模型 潜变量混合增长模型 longitudinal design, ANOVA, cross-lagged analysis, HLM, latent growth mixed model
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