中国考试
中國攷試
중국고시
CHINA EXAMINATIONS
2015年
2期
25-32
,共8页
非参数认知诊断%K-means方法%属性个数%样本容量%属性层级结构
非參數認知診斷%K-means方法%屬性箇數%樣本容量%屬性層級結構
비삼수인지진단%K-means방법%속성개수%양본용량%속성층급결구
Nonparametric Cognitive Diagnosis%K-means Method%Number of Attributes%Sample Size%Attribute Hierarchy
非参数认知诊断方法只需Q矩阵，无须估计参数等优势，使其近年来备受关注，但其判准率如何，哪些因素会影响判准率，并未有相关研究。本文通过模拟研究，探讨属性个数、样本容量和属性层级结构对该方法判准率的影响，结果表明：①属性个数的增加会导致判准率的下降，但其稳健性较参数模型要好；②属性间逻辑关系的紧密度会对判准率产生影响，但其表现形式与参数模型不同；③样本容量对判准率影响很小，属性个数较少时100人已足够，随着属性个数的增加，500人的样本已是较佳样本。本研究为CDA走向小型测评及课堂评估提供了参考信息。
非參數認知診斷方法隻需Q矩陣，無鬚估計參數等優勢，使其近年來備受關註，但其判準率如何，哪些因素會影響判準率，併未有相關研究。本文通過模擬研究，探討屬性箇數、樣本容量和屬性層級結構對該方法判準率的影響，結果錶明：①屬性箇數的增加會導緻判準率的下降，但其穩健性較參數模型要好；②屬性間邏輯關繫的緊密度會對判準率產生影響，但其錶現形式與參數模型不同；③樣本容量對判準率影響很小，屬性箇數較少時100人已足夠，隨著屬性箇數的增加，500人的樣本已是較佳樣本。本研究為CDA走嚮小型測評及課堂評估提供瞭參攷信息。
비삼수인지진단방법지수Q구진，무수고계삼수등우세，사기근년래비수관주，단기판준솔여하，나사인소회영향판준솔，병미유상관연구。본문통과모의연구，탐토속성개수、양본용량화속성층급결구대해방법판준솔적영향，결과표명：①속성개수적증가회도치판준솔적하강，단기은건성교삼수모형요호；②속성간라집관계적긴밀도회대판준솔산생영향，단기표현형식여삼수모형불동；③양본용량대판준솔영향흔소，속성개수교소시100인이족구，수착속성개수적증가，500인적양본이시교가양본。본연구위CDA주향소형측평급과당평고제공료삼고신식。
Cluster diagnosis method as a kind of nonparametric cognitive diagnosis method, which was only requires the Q-matrix made it more and more popular in recent years, but what kinds of factors will influence the classification accuracy of this method is not clear. This paper uses simulation studies to discuss the Influence Factors of this method’s classification accuracy, such as the number of attribute, sample size and attribute hierarchy. The result indicated that:①more attributes lead to the lower classification accuracy, but this method is more stable than the parameter model.②The tightness of the logical relationship between attributes will influence on the classification accuracy, but the form is different from parameter model. ③The sample size has little impact on the classification accuracy, the size of 100 people is enough and the size of 500 people can achieve a good level. The above results provide some reference information for the application of CDA in small assessment and classroom assessment.
