%0 Journal Article
%T Application of Bayesian Networks to Identify Hierarchical Relation Among Attributes in Cognitive Diagnosis<br>贝叶斯网在认知诊断属性层级结构确定中的应用
%A YU Xiao-Feng
%A DING Shu-Liang
%A QIN Chun-Ying
%A LU Yun-Na
%A <br>喻晓锋
%A 丁树良
%A 秦春影
%A 陆云娜
%J 心理学报
%D 2011
%I 
%X It's very significant to correctly identify the hierarchical relation among attributes correctly when constructing a diagnosis test.As we know,there are various methods to identify the hierarchical relation among attributes in different cognitive diagnosis models(CDMs).Rule Space Model(RSM) is a kind of great influence CDM which was developed by Tatsuoka and her associates.In RSM,the task of attribute identification is performed after the test items have already been developed.And then an incidence Q matrix...
%K rule space model
%K cognitive diagnosis
%K Bayesian networks
%K structure learning<br>规则空间模型
%K 认知诊断
%K 贝叶斯网
%K 结构学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=C94E3F05CFD5644C9DAA97BEB9148D4784B6B22E64D84F4E&jid=1EE72F392B87F45015B3CA6D9A7AFA6F&aid=8506479A0A61B062726D1D323E959CC5&yid=9377ED8094509821&vid=BE33CC7147FEFCA4&iid=38B194292C032A66&sid=302684F6FB4B24FF&eid=C7DDDE86E6286CD9&journal_id=0439-755X&journal_name=心理学报&referenced_num=0&reference_num=0