期刊論文
| 學年 | 108 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2019-09-12 |
| 作品名稱 | A Gibbs sampling algorithm that estimates the Q-matrix for the DINA model |
| 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 | Journal of Mathematical Psychology 93, 102275 |
| 摘要 | Cognitive diagnostic assessment has drawn more attention in recent years, which attempts to evaluate whether an examinee has mastered those cognitive skills or attributes being measured in an assessment. To achieve this objective, a variety of cognitive diagnosis models have been developed. The core element of these models is the Q-matrix, which is a binary matrix that establishes item-to-attribute mapping in an exam. Traditionally, the Q-matrix is fixed and designed by domain experts. However, there are concerns that some domain experts might neglect certain attributes, and that different experts could have different opinions. It is therefore of practical importance to develop an automated method for estimating the attribute-to-item mapping, and the purpose of this study is to develop a Markov Chain Monte Carlo (MCMC) algorithm to estimate the Q-matrix in a Bayesian framework. |
| 關鍵字 | Q-matrix;DINA;CDM;Bayesian;Gibbs sampler;MCMC |
| 語言 | en_US |
| ISSN | 1096-0880 |
| 期刊性質 | 國內 |
| 收錄於 | SSCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/120648 ) |