[1]夏梦连,毛秀珍*,杨 睿.属性多级和项目多级评分的认知诊断模型[J].江西师范大学学报(自然科学版),2018,(02):134-138.[doi:10.16357/j.cnki.issn1000-5862.2018.02.03]
 XIA Menglian,MAO Xiuzhen*,YANG Rui.Cognitive Diagnosis Models Under Polytomous Attributes and Polytomous Item[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(02):134-138.[doi:10.16357/j.cnki.issn1000-5862.2018.02.03]
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属性多级和项目多级评分的认知诊断模型()
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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:
2018年02期
页码:
134-138
栏目:
心理与教育测量
出版日期:
2018-04-20

文章信息/Info

Title:
Cognitive Diagnosis Models Under Polytomous Attributes and Polytomous Item
文章编号:
1000-5862(2018)02-0134-05
作者:
夏梦连1毛秀珍2*杨 睿2
1.四川师范大学教师教育与心理学院,四川 成都 610068; 2.四川师范大学教育科学学院,四川 成都 610068
Author(s):
XIA Menglian1MAO Xiuzhen2*YANG Rui2
1.School of Teacher Education and Psychology,Sichuan Normal University,Chengdu Sichuan 610068,China; 2.School of Educational Science,Sichuan Normal University,Chengdu Sichuan 610068,China
关键词:
认知诊断理论 属性多极化 多级评分项目 认知诊断模型
Keywords:
cognitive diagnostic theory polytomous attributes polytomous item cognitive diagnosis model
分类号:
B 841.7
DOI:
10.16357/j.cnki.issn1000-5862.2018.02.03
文献标志码:
A
摘要:
认知诊断理论中属性多级和项目多级评分均能极大地丰富项目信息,提高诊断结果准确度.基于此对已有认知诊断模型扩展的属性多级和项目评分多级的认知诊断模型进行介绍,并基于认知诊断模型和相关理论研究视角,对当前认知诊断的发展方向提出思考和建议.
Abstract:
Polytomous attributes and polytomous item in cognitive diagnosis theory can greatly enrich the item information and improve the diagnosis accuracy.Firstly,polytomous attributes and polytomous models are introduced which are extended based on cognitive diagnosis model.At last,based on the new models,some future research directions and suggestions are put forward to cognitive diagnostic.

参考文献/References:

[1] Fischer G H.The linear logistic test model as an instrument in educational research[J].Acta Psychologica,1973,37(6):359-374.
[2] Tatsuoka K K.Rule space:an approach for dealing with misconceptions based on item response theory[J].Journal of Educational Measurement,1983,20(4):345-354.
[3] Junker B W,Sijtsma K.Cognitive assessment models with few assumptions,and connections with nonparametric item response theory[J].Applied Psychological Measurement,2001,25(3):258-272.
[4] Hartz M C.A Bayesian framework for the unified model for assessing cognitive abilities:blending theory with practicality[J].American Journal of Gastroenterology,2002,95(4):906-909.
[5] Leighton 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.
[6] 郭磊,苑春永,边玉芳.从新模型视角探讨认知诊断的发展趋势[J].心理科学进展,2013,21(12):2256-2264.
[7] Lin Haiyan.Item selection methods in multidimensional computerized adaptive testing adopting polytomously-scored items under multidimensional generalized partial credit model[J].Dissertations & Theses-Gradworks,2012,5(4):392-403.
[8] Samejima F.Graded response model of the latent trait theory and tailored testing[C]∥Clark C K.Proceedings of the first conference on computerized adaptive testing.Washington,DC:Government Printing Office,1976:5-17.
[9] Van Rijn P W,Eggen T J H M,Hemker B T,et al.Evaluation of selection procedures for computerized adaptive testing with polytomous items[J].Applied Psychological Measurement,2002,26(4):393-411.
[10] Karelitz T M.Ordered category attribute coding framework for cognitive assessments[EB/OL].
[2017-09-13].10.13140/RG.2.1.4628.9440.
[11] de la Torre J,Lam D,Rhoads K,et al.Measuring grade 8 proportional reasoning:The process of attribute identification and task development and validation[C].The Annual Meeting of the American Educational Research Association.Denver:CO,2010.
[12] Chen Jinsong,Jimmy D L T.A general cognitive diagnosis model for expert-defined polytomous attributes[J].Applied Psychological Measurement,2013,37(6):419-437.
[13] Torre J D L.DINA model and parameter estimation:A didactic[J].Journal of Educational & Behavioral Statistics,2009,34(1):115-130.
[14] Cheng Ying.Computerized adaptive testing:new developments and applications[EB/OL].
[2017-08-19].https://www.ideals.illinois.edu/bitstream/handle/2142/82159/3337733.pdf?sequence=2&isAllowed=n.
[15] Rupp A A,Templin J.The effects of Q-matrix misspecification on parameter estimates and classification accuracy in the DINA model[J].Educational & Psychological Measurement,2008,68(1):78-96.
[16] 蔡艳,涂冬波.属性多级化的认知诊断模型拓展及其Q矩阵设计[J].心理学报,2015,47(10):1300-1308.
[17] 詹沛达,边玉芳,王立君.重参数化的多分属性诊断分类模型及其判准率影响因素[J].心理学报,2016,48(3):318-330.
[18] 李丽.基于属性多级化模型的中学生空间能力认知诊断研究[D].南昌:江西师范大学,2016.
[19] 涂冬波,蔡艳.基于属性多级化的认知诊断计算机化自适应测验设计与实现[J].心理学报,2015,47(11):1405-1414.
[20] 涂冬波,蔡艳,戴海琦,等.一种多级评分的认知诊断模型:P-DINA模型的开发[J].心理学报,2010,42(10):1011-1020.
[21] Templin J L,Henson R A.Measurement of psychological disorders using cognitive diagnosis models[J].Psychological Methods,2006,11(3):287-305.
[22] 吴方文.补偿型的多级评分认知诊断模型的开发及其在抑郁症状评估中的应用[D].南昌:江西师范大学,2015.
[23] 吴方文,涂冬波,刘明矾.分离型的多级评分认知诊断模型开发及其应用研究[J].心理科学,2017,40(1):209-215.
[24] 祝玉芳,丁树良.基于等级反应模型的属性层级方法[J].心理学报,2009,41(3):267-275.
[25] 蔡艳,苗莹,涂冬波.多级评分的认知诊断计算机化适应测验[J].心理学报,2016,48(10):1338-1346.

备注/Memo

备注/Memo:
收稿日期:2017-11-02
基金项目:国家自然科学基金(31400897,11201313)资助项目.
通信作者:毛秀珍(1980-),女,四川成都人,副教授,博士,主要从事心理测量与评价方面的研究.E-mail:maomao_wanli@163.com
更新日期/Last Update: 2018-04-20