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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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关于改善多维物件响应理论的变量估计的说明

Chenchen Ma1, Jing Ouyang1, Chun Wang2

  • 1Department of Statistics, University of Michigan, 456 West Hall, 1085 South University, Ann Arbor, MI, 48109, USA.

Psychometrika
|November 18, 2023
PubMed
概括

本研究引入了一种改进的算法,即重要性加权高斯变量期望最大化 (IW-GVEM),以准确估计复杂的多维物品响应理论 (MIRT) 模型. 新方法纠正了参数估计中的偏差,使MIRT更容易获得大规模评估.

关键词:
斯变量 em 是一个高斯变量.重要 采样 采样的重要性多维物品响应理论是多维物品反应理论.

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