[1]汪文义,宋丽红,丁树良.基于探索性因素分析的Q矩阵标定方法[J].江西师范大学学报(自然科学版),2015,(02):138-144.
　WANG Wenyi,SONG Lihong,DING Shuliang.The Statistical Specification of the Q-Matrix ——an Integration of EFA and Q-Matrix Validation Method[J].Journal of Jiangxi Normal University:Natural Science Edition,2015,(02):138-144.
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基于探索性因素分析的Q矩阵标定方法()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2015年02期
页码:
138-144
栏目:
出版日期:
2015-04-10

文章信息/Info

Title:
The Statistical Specification of the Q-Matrix ——an Integration of EFA and Q-Matrix Validation Method
作者:
汪文义；宋丽红；丁树良
1.江西师范大学计算机信息工程学院,江西 南昌 330022; 2.江西师范大学初等教育学院,江西 南昌 330027
Author(s):
WANG Wenyi; SONG Lihong; DING Shuliang
关键词:
Q矩阵;  探索性方法;  验证性方法;  模型整体拟合指标;  分类准确性指标
Keywords:
the Q-matrix;  exploratory method;  confirmatory method;  model fit index;  classification accuracy index
分类号:
B 841.7; TP 301.6
文献标志码:
A
摘要:
标定Q矩阵是认知诊断评估中最基本也是最为关键的一步.如今Q矩阵标定的统计方法,多数为验证性方法,即验证或修正已有Q矩阵中元素的方法.在常见的Q矩阵未知和已有作答数据情形下,提出将探索性因素分析方法和验证性方法相结合的Q矩阵标定方法,并采用模型整体拟合指标、分类准确性指标等,综合确定属性数和Q矩阵.模拟研究表明:新方法可较好标定Q矩阵.
Abstract:
The vast majority of the existing statistical methods to specify the Q-matrix do rely on the draft Q -matrix constructed by the subject matter experts or the researches.Based on previous related research,the authors consider the estimation problem of the Q-matrix under the condition of without having the draft Q-matrix.In particular,they introduce a Q-matrix identification approach which integrates exploratory factor analysis(EFA)with Q-matrix validation method.The results of a simulation study show that the initial Q-matrix can be correctly explored with high recovery rate using the EFA and the validation methods.

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备注/Memo

备注/Memo:
国家自然科学基金(31360237，31300876，31160203，31100756，30860084)；教育部人文社会科学研究青年基金(13YJC880060)；江西省教育科学2013年度一般课题(13YB032)
更新日期/Last Update: 1900-01-01