| 随机截距潜在转变分析(RI-LTA)——个案自我转变与个案间差异的分离 |
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| 引用本文： | 温聪聪,朱红. 随机截距潜在转变分析(RI-LTA)——个案自我转变与个案间差异的分离[J]. 心理科学进展, 2021, 29(10): 1773-1782. DOI: 10.3724/SP.J.1042.2021.01773 |
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| 作者姓名： | 温聪聪 朱红 |
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| 作者单位： | 1.厦门大学国际学院, 厦门 361102;2.北京大学教育经济研究所, 北京 100871 |
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| 摘 要： | 传统的潜在转变分析属于单水平分析, 但其同样也可以看作二水平分析。Muthén和Asparouhov就以二水平分析的视角在单水平分析框架内提出了随机截距潜在转变分析(RI-LTA), 其中跨时间点产生的自我转变可以看作在水平1进行分析, 跨时间点不变的个案间差异可以看作在水平2进行分析, 使个案的自我转变和个案间的初始差异分离, 避免了高估保留在初始类别的概率。某研究型大学2016级本科生的追踪调查数据被用于演示使用随机截距潜在转变分析的过程。该方法的最大优势是通过引入随机截距避免了高估保留在本类别的转变概率。未来研究可以运用蒙特卡洛模拟研究探究随机截距潜在转变分析模型的适用性, 也可以用多水平分析的思路为灵感, 探究多水平随机截距潜在转变分析在统计软件中的实现。
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| 关 键 词： | 潜在转变分析 随机截距潜在转变分析 单水平分析 多水平分析 蒙特卡洛模拟研究 |
| 收稿时间： | 2020-10-12 |
Random intercept latent transition analysis (RI-LTA): Separating the between-subject variation from the within-subject variation |
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| WEN Congcong,ZHU Hong. Random intercept latent transition analysis (RI-LTA): Separating the between-subject variation from the within-subject variation[J]. Advances In Psychological Science, 2021, 29(10): 1773-1782. DOI: 10.3724/SP.J.1042.2021.01773 |
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| Authors: | WEN Congcong ZHU Hong |
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| Affiliation: | 1.International College, Xiamen University, Xiamen 361102, China;2.Institute of Economics of Education, Peking University, Beijing 100871, China |
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| Abstract: | Traditional latent transition analysis (LTA) is usually done using single-level modeling, but can also be viewed as a two-level modeling from a multi-level perspective. In 2020, Muthén and Asparouhov proposed a so-called random intercept latent transition analysis (RI-LTA) model which separates between-subject variation from within-subject variation. By integrating a random intercept factor, latent class transitions are represented on the within level, whereas the between level captures the variability across subjects. |
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| Keywords: | latent transition analysis random intercept latent transition analysis single-level analysis multi- level analysis Monte Carlo simulation study |
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