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Updated: May 12, 2026

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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在密集的二进制纵向眼睛跟踪数据中,使用GAMM的副变量平滑函数来比较组间的功能趋势和学习.

Sun-Joo Cho1, Sarah Brown-Schmidt2, Sharice Clough3,4

  • 1Vanderbilt University, Nashville, USA. sj.cho@vanderbilt.edu.

Psychometrika
|July 16, 2024
PubMed
概括

这项研究引入了一种分析眼睛跟踪数据的统计模型,以了解脑损伤对语言理解和学习随时间推移的影响. 该模型有效地在纵向数据中捕捉功能趋势和学习模式.

关键词:
通过变量的平滑函数.眼睛跟踪数据的数据.一般化添加剂混合模型的模型.组对比 组对比 组对比 组对比密集的二进制纵向数据.

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