| A PCA Approach to Estimate the Q-matrix | |
|---|---|
| 學年 | 110 |
| 學期 | 2 |
| 出版（發表）日期 | 2022-05-23 |
| 作品名稱 | A PCA Approach to Estimate the Q-matrix |
| 作品名稱（其他語言） | |
| 著者 | Mengta Chung |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | 2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), p. 243-245. |
| 摘要 | 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 |
| 關鍵字 | |
| 語言 | en_US |
| ISSN | 2376-6824 |
| 期刊性質 | 國外 |
| 收錄於 | Scopus |
| 產學合作 | |
| 通訊作者 | Mengta Chung |
| 審稿制度 | 是 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128510 ) |
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