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可以处理补偿作用的认知诊断模型:CDINA模型 被引量:1

The Cognitive Diagnostic Model Which Can Deal with Compensation and Noncompensation Effects:CDINA
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摘要 对DINA和DINO模型进行改进,构建了一个比DINA和DINO模型更“一般”的模型,称为CDINA模型.除了猜测和失误参数之外,在CDINA模型中每个项目还包含1个补偿参数.构建的模型不仅保留了DINA模型简单和易于解释的特点,而且模拟和实证研究结果表明:(i)CDINA模型可同时处理项目属性之间是连接、部分补偿或完全补偿的情况(可将DINA和DINO看成是CDINA的特例),且CDINA模型具有较高的参数估计精度和被试分类准确率;(ii)通过比较CDINA、DINA、DINO模型的分类判准率和相对拟合指标,发现CDINA不会比DINA和DINO的分类准确率更低,且在存在部分补偿的情况下CDINA模型更优于DINA和DINO模型. The DINA and DINO models are improved to build a more“general”model that is called CDINA model.In addition to the guessing and slipping parameters,each item in the CDINA model contains a compensation parameter.The model built preserves the parsimonious and easy-to-explain characteristics of the DINA model,and the simulation and empirical results show that the CDINA model can handle the item with its attributes are conjunctive,partially compensated,or fully compensated.That is,CDINA can be regarded as a general case of DINA and DINO,and it has relatively high parameter estimation accuracy and classification accuracy.The classification accuracy of the CDINA model is evaluated by comparing the three models of interest based on the relative fit indicators,CDINA is found to be no less accurate than DINA and DINO classifications.In the case of partial compensation,CDINA outperforms the DINA and DINO models.
作者 罗照盛 杭丹丹 秦春影 喻晓锋 LUO Zhaosheng;HANG Dandan;QIN Chunying;YU Xiaofeng(School of Psychology,Jiangxi Normal University,Nanchang Jiangxi 330022,China;Department of Mathematics and Computer Science,Nanchang Normal University,Nanchang Jiangxi 330032,China)
出处 《江西师范大学学报(自然科学版)》 CAS 北大核心 2020年第5期441-453,共13页 Journal of Jiangxi Normal University(Natural Science Edition)
基金 国家自然科学基金(31660279,31600909) 教育部人文社会科学研究课题(17YJC190029) 江西省教育厅科学技术研究课题(GJJ160309,GJJ191128,GJJ191691,GJJ181077,GJJ191129) 江西省教育厅人文社科课题(XL1509),江西省社科规划课题(16JY11) 江西省科技厅重点研发课题(20192BBEL50040) 江西省教育科学“十三五”规划(20YB250) 江西省高校人文社会科学青年课题(XL20202) 江西省高等学校教学改革研究课题(JXJG-19-2-13,JXJG-19-23-2)资助项目.
关键词 补偿作用 参数估计 判准率 EM算法 compensate parameter estimation match ratio EM algorithm
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  • 1丁树良,罗芬.求偏序关系Hasse图的算法[J].江西师范大学学报(自然科学版),2005,29(2):150-152. 被引量:12
  • 2林海菁,丁树良.具有认知诊断功能的计算机化自适应测验的研究与实现[J].心理学报,2007,39(4):747-753. 被引量:21
  • 3丁树良,汪文义,杨淑群.认知诊断测验编制的原则.中国科技论文在线,http://www.paper.edu.cn.2009. 被引量:5
  • 4Leighton J P, Gierl M J, Hunka S M. The attribute hierarchy method for cognitive assessment: a variation on Tatsuoka' s rule-space approach [J]. Journal of Educational Measurement, 2004,41 (3) :205-237. 被引量:1
  • 5Ding Shu-liang, Luo Fen, Cai Yan, et al. Complement to Tatsuoka' s Q matrix theory [ C]. Shigemasu K, Okada A, Imaizumi T, et al. New Trends in Psychometrics,Tokyo:Universal Academy Press,2008:417-424. 被引量:1
  • 6Samejima F. A cognitive diagnosis method using latent trait models: competency space approach and its relationship with DiBello and Stout's unified cognitive-psychometric diagnosis model [ C]. Nichols P D, Chipman S F, Brcnnan R L. Cognitively Diagnostic Assessment, NJ: Erlbatun, 1995 : 391-410. 被引量:1
  • 7Tatsuoka K K. Cognitive assessment an introduction to the rule space method [ M]. New York: Routledge Taylor & Francis Group, 2009. 被引量:1
  • 8Henson R, Douglas J. Test construction for cognitive diagnosis [ J]. Applied Psychological Measurement, 2005,29:262-277. 被引量:1
  • 9Zeng Ling-yan, Ding Shu-hang, Gan Deng-wen. Test construction for cognitive diagnosis [ C]. Shenzhen: Asia-Pacific Conference on Wearable Computing Systems, 2010. 被引量:1
  • 10Kuang Zheng, Ding Shu-liang, Xu'Zhi-yong. Application of support vector machine to cognitive diagnosis [ C]. Shenzhen: Asia-Pacific Conference on Wearable Computing Systems,2010. 被引量:1

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