Model identification and Q-matrix incremental inference in cognitive diagnosis

[1]  Mengta Chung.  Estimating the Q-matrix for Cognitive Diagnosis Models in a Bayesian Framework , 2014 .

[2]  Chia-Yi Chiu.  Statistical Refinement of the Q-Matrix in Cognitive Diagnosis , 2013 .

[3]  Jingchen Liu,et al.  Theory of the Self-learning Q-Matrix. , 2010, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

[4]  R. Xiang.  Nonlinear penalized estimation of true Q-matrix in cognitive diagnostic models , 2013 .

[5]  L. T. DeCarlo.  Recognizing Uncertainty in the Q-Matrix via a Bayesian Extension of the DINA Model , 2012 .

[6]  Xiang Xu-yan,et al.  Markov chain inversion approach to identify the transition rates of ion channels , 2012 .

[7]  Jingchen Liu,et al.  Data-Driven Learning of Q-Matrix , 2012, Applied psychological measurement.

[8]  J. D. L. Torre,et al.  The Generalized DINA Model Framework. , 2011 .

[9]  L. T. DeCarlo.  On the Analysis of Fraction Subtraction Data: The DINA Model, Classification, Latent Class Sizes, and the Q-Matrix , 2011 .

[10]  Jonathan Templin,et al.  Diagnostic Measurement: Theory, Methods, and Applications , 2010 .

[11]  K. Tatsuoka.  Cognitive Assessment: An Introduction to the Rule Space Method , 2009 .

[12]  J. D. L. Torre,et al.  DINA Model and Parameter Estimation: A Didactic , 2009 .

[13]  Jimmy de la Torre,et al.  An Empirically Based Method of Q‐Matrix Validation for the DINA Model: Development and Applications , 2008 .

[14]  J. Templin,et al.  The Effects of Q-Matrix Misspecification on Parameter Estimates and Classification Accuracy in the DINA Model , 2008 .

[15]  Mark J. Gierl,et al.  Cognitive diagnostic assessment for education: Theory and applications. , 2007 .

[16]  J. Templin,et al.  Measurement of psychological disorders using cognitive diagnosis models. , 2006, Psychological methods.

[17]  Louis V. DiBello,et al.  31A Review of Cognitively Diagnostic Assessment and a Summary of Psychometric Models , 2006 .

[18]  Mark J. Gierl,et al.  The Attribute Hierarchy Method for Cognitive Assessment: A Variation on Tatsuoka's Rule-Space Approach , 2004 .

[19]  B. Junker,et al.  Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory , 2001 .

[20]  B. Junker,et al.  Cognitive Assessment Models with Few Assumptions , and Connections with Nonparametric IRT , 2001 .

[21]  E. Maris.  Estimating multiple classification latent class models , 1999 .

[22]  Kikumi K. Tatsuoka,et al.  Architecture of knowledge structures and cognitive diagnosis: A statistical pattern recognition and classification approach. , 1995 .

[23]  K. Tatsuoka,et al.  Applying an IRT-Based Cognitive Diagnostic Model to Diagnose Students' Knowledge States in Multiplication and Division with Exponents. , 1993 .

[24]  K. Tatsuoka.  Toward an Integration of Item-Response Theory and Cognitive Error Diagnosis. , 1987 .

[25]  K. Tatsuoka.  RULE SPACE: AN APPROACH FOR DEALING WITH MISCONCEPTIONS BASED ON ITEM RESPONSE THEORY , 1983 .

[26]  John Seely Brown,et al.  Diagnostic Models for Procedural Bugs in Basic Mathematical Skills , 1978, Cogn. Sci..