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Updated: Jun 21, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

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用因子分数进行多重推算:在纵向设计中处理跨项同时缺失的实用方法

Yanling Li1, Zita Oravecz1, Linying Ji2

  • 1Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.

Multivariate behavioral research
|July 12, 2024
PubMed
概括

这项研究引入了MI-FS,一种使用因子得分的多重归算 (MI) 方法,用于处理密集的纵向研究中不可忽视的缺失数据. MI-FS和其他MI技术的表现优于列表式删除,MI-FS显示出更好的自动回归参数准确性.

关键词:
多重的归咎是多重的归咎.动态因素模型的动态因素模型.情绪 情绪 情绪 情绪 情绪一个因子得分的分数.缺失的数据 缺失的数据

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