一种估计q矩阵的PCA方法

2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI) Pub Date : 2021-11-01 DOI:10.1109/taai54685.2021.00053

Mengta Chung

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引用次数: 1

摘要

本研究的主要目的是利用四分频相关性的探索性因子分析(EFA)来估计q矩阵。模拟研究结果表明，四分频相关性EFA可用于估计q矩阵，不同混合物的回收率均在0.920以上。本研究中的所有分析都是在R中实现的。

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A PCA Approach to Estimate the Q-matrix

The primary purpose for this research is to estimate the Q-matrix using an exploratory factor analysis (EFA) of tetrachoric correlations. Results from simulation studies suggest that an EFA of tetrachoric correlations is feasible for estimating the Q-matrix, with recovery rates from different concoctions above 0.920. All analyses in this research are implemented in R.

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2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

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