A Gibbs sampling algorithm that estimates the Q-matrix for the DINA model
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
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