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Updated: Sep 9, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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使用双变潜因子模型的分散计时数据的联合分析

Cornelis J Potgieter1,2, Akihito Kamata3, Yusuf Kara4

  • 1Texas Christian University, Fort Worth, Texas, USA.

The British journal of mathematical and statistical psychology
|August 28, 2025
PubMed
概括

这项研究引入了联合计数和时间数据的新统计模型,提高了测量的准确性和速度. 贝塔双项模型改善了复杂数据的适应性,并提供了可靠的标准误差估计.

关键词:
贝塔双项分布精度计数数据项目响应理论在口头阅读流利过度分散心理测量校准响应时间分析

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