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Updated: Jun 26, 2025

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一个新的样本大小规划方法对个人特定的VAR研究: (1) 预测性准确性分析

Jordan Revol1, Ginette Lafit2, Eva Ceulemans3

  • 1Research Group of Quantitative Psychology and Individual Differences, KU Leuven, Leuven, Belgium. jordan.revol@kuleuven.be.

Behavior research methods
|May 8, 2024
PubMed
概括

使用矢量自回归 (VAR) 模型进行N=1研究的样本大小规划,现在可以将预测准确性分析 (PAA) 纳入. 这种方法提供了对模型过拟合的洞察力,并且通常比传统功率分析更小的样本大小.

关键词:
自动回归模型是一种自动回归模型.密集的纵向设计 密集的纵向设计蒙特卡洛模拟的蒙特卡洛模拟动力分析 动力分析预测的准确性 预测的准确性样本大小规划方法

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