参考文献/References:
[1] Chen Jinsong,de la Torre J.A general cognitive diagnosis model for expert-defined polytomous attributes [J].Applied Psychological Measurement,2013,37(6):419-437.
[2] Sun Jia'nan,Xin Tao,Zhang Shumei,et al.A polytomous extension of the generalized distance discriminating method [J].Applied Psychological Measurement,2013,37(7):503-521.
[3] De Carlo L T.On the analysis of fraction subtraction data:the DINA model,classification,latent class sizes,and the Q-matrix [J].Applied Psychological Measurement,2011,35(1):8-26.
[4] Jang E E.Cognitive diagnostic assessment of L2 reading comprehension ability:validity arguments for fusion model application to languedge assessment [J].Language Testing,2009,26(1):31-73.
[5] McGlohen M K,Chang Huahua.Combining computer adaptive testing technology with cognitively diagnostic assessment [J].Behavior Research Methods,2008,40(3):808-821.
[6] Im S,Corter J E.Statistical consequences of attribute misspecification in the rule space method [J].Educational and Psychological Measurement,2011,71(4):712-731.
[7] Rupp A A,Templin J.The effects of Q-matrix misspecification on parameter estimates and classification accuracy in the DINA model [J].Educational and Psychological Measurement,2008,68(1):78-96.
[8] Junker B,Sijtsma K.Cognitive assessment models with few assumptions,and connections with nonparametric item response theory [J].Applied Psychological Measurement,2001,25:258-272.
[9] Haertel E H.Using restricted latent class models to map the skill structure of achievement items [J].Journal of Educational Measurement,1989,26(4):301-321.
[10] dela Torre J.An empirically based method of Q-matrix validation for the DINA model:development and applications [J].Journal of Educational Measurement,2008,45:343-362.
[11] 涂冬波,蔡艳,戴海琦.基于DINA模型的Q矩阵修正方法[J].心理学报,2012,44(4):558-568.
[12] Chiu Chiayi.Statistical refinement of the Q-Matrix in cognitive diagnosis [J].Applied Psychological Measurement,2013,37(8):598-618.
[13] Chen Ping,Xin Tao,Wang Chun,et al.On-line calibration methods for the DINA model with independent attributes in CA-CAT [J].Psychometrika,2012,77(2):201-222.
[14] 陈平,辛涛.认知诊断计算机化自适应测验中在线标定方法的开发 [J].心理学报,2011,43(6):710-724.
[15] 陈平,辛涛.认知诊断计算机化自适应测验中的项目增补 [J].心理学报,2011,43(7):836-850.
[16] 陈平,张佳慧,辛涛.在线标定技术在计算机化自适应测验中的应用 [J].心理科学进展,2013,21(10):1883-1892.
[17] 汪文义,丁树良.题库结构对原始题在线属性标定准确性之影响研究 [J].心理科学,2012,35(2):452-456.
[18] 汪文义,丁树良,游晓锋.计算机化自适应诊断测验中原始题的属性标定 [J].心理学报,2011,43(8):964-976.
[19] Wang Wenyi,Ding Shuliang,Song Lihong.New Q-matrix validation methods and their sensitivity under the DINA model [C].San Francisco:CA,2013.
[20] 丁树良,罗芬,汪文义.认知诊断分类中心的确定 [J].心理学探新,2013,33(5):396-401.
[21] 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,2015,39(2):138-144,170.
[22] 喻晓锋,罗照盛,高椿雷,等.使用似然比D统计量的题目属性定义方法 [J].心理学报,2015,47(3):417-426.
[23] 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.
[24] de la Torre J.DINA model and parameter estimation:a didactic [J].Journal of Educational and Behavioral Statistics,2009,34(1):115-130.
[25] de la Torre J,Douglas J.Higher-order latent trait models for cognitive diagnosis [J].Psychometrika,2004,69(3):333-353.
[26] Tatsuoka K K.Toward an integration of item-response theory and cognitive error diagnosis [C] ∥ Frederiksen N,Glaser R L,Lesgold A M,et al.Diagnostic monitoring of skill and knowledge acquisition [A].Erlbaum:Hillsdale,1990:453-488.
[27] Chiu Chiayi,Douglas J A.A nonparametric approach to cognitive diagnosis by proximity to ideal response patterns [J].Journal of Classification,2013,30:225-250.
[28] DiBello L V,Roussos L A,Stout W.Review of cognitively diagnostic assessment and a summary of psychometric models [C]∥ Rao C R,Sinharay S.Handbook of statistics [A].Elsevier:Amsterdam,2007:979-1030.
[29] 丁树良,汪文义,杨淑群.认知诊断测验蓝图的设计[J].心理科学,2011,34(2):258-265.
[30] 丁树良,杨淑群,汪文义.可达矩阵在认知诊断测验编制中的重要作用 [J].江西师范大学学报:自然科学版,2010,34(5):490-495.
[31] Liu Jingchen,Xu Gongjun,Ying Zhiliang.Data-driven learning of Q-matrix [J].Applied Psychological Measurement,2012,36(7):548-564.
[32] 喻晓锋,罗照盛,秦春影,等.基于作答数据的模型参数和Q矩阵联合估计 [J].心理学报,2015,47(2):273-282.
相似文献/References:
[1]武永华,杨淑群.属性蕴含Q矩阵理论的认知诊断模型[J].江西师范大学学报(自然科学版),2016,40(03):295.
WU Yonghua,YANG Shuqun.The Cognitive Diagnosis Model of Q Matrix Theory with Attribute Implication[J].Journal of Jiangxi Normal University:Natural Science Edition,2016,40(06):295.
[2]詹沛达,丁树良,王立君.多分属性层级结构下引入逻辑约束的理想掌握模式[J].江西师范大学学报(自然科学版),2017,(03):289.
ZHAN Peida,DING Shuliang,WANG Lijun.The Ideal Mastery Pattern for Polytomous Attributes with Hierarchical Structure Incorporating Mastery Level Restriction[J].Journal of Jiangxi Normal University:Natural Science Edition,2017,(06):289.
[3]罗 慧,熊建华,王晓庆,等.基于加权距离的一种认知诊断方法[J].江西师范大学学报(自然科学版),2018,(01):74.[doi:10.16357/j.cnki.issn1000-5862.2018.01.13]
LUO Hui,XIONG Jianhua,WANG Xiaoqing,et al.The Generalized Cognitive Diagnosis Method Based on Weighted Distance[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(06):74.[doi:10.16357/j.cnki.issn1000-5862.2018.01.13]
[4]汪文义,汪 腾,宋丽红,等.基于可达阵的补偿模型Q矩阵标定方法[J].江西师范大学学报(自然科学版),2018,(05):441.[doi:10.16357/j.cnki.issn1000-5862.2018.05.01]
WANG Wenyi,WANG Teng,SONG Lihong,et al.The Method for Compensatory Model's Q-Matrix Specification Based on the Reachability Matrix[J].Journal of Jiangxi Normal University:Natural Science Edition,2018,(06):441.[doi:10.16357/j.cnki.issn1000-5862.2018.05.01]
[5]黄 玉,罗 芬,熊建华,等.多级评分多策略认知诊断方法[J].江西师范大学学报(自然科学版),2019,(04):376.[doi:10.16357/j.cnki.issn1000-5862.2019.04.08]
HUANG Yu,LUO Fen,XIONG Jianhua,et al.The Multiple-Strategy Cognitive Diagnosis Method with Polytomous Scoring[J].Journal of Jiangxi Normal University:Natural Science Edition,2019,(06):376.[doi:10.16357/j.cnki.issn1000-5862.2019.04.08]
[6]汪文义,高 朋,宋丽红,等.带噪音预处理的改进探索性Q矩阵标定方法[J].江西师范大学学报(自然科学版),2020,(02):136.[doi:10.16357/j.cnki.issn1000-5862.2020.02.04]
WANG Wenyi,GAO Peng,SONG Lihong,et al.The Improved Exploratory Method of Q-Matrix Specification with Noise Preprocessing[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(06):136.[doi:10.16357/j.cnki.issn1000-5862.2020.02.04]