Literature DB >> 24812537

Theory of the Self-learning Q-Matrix.

Jingchen Liu1, Gongjun Xu1, Zhiliang Ying1.   

Abstract

Cognitive assessment is a growing area in psychological and educational measurement, where tests are given to assess mastery/deficiency of attributes or skills. A key issue is the correct identification of attributes associated with items in a test. In this paper, we set up a mathematical framework under which theoretical properties may be discussed. We establish sufficient conditions to ensure that the attributes required by each item are learnable from the data.

Entities:  

Keywords:  Classification model; Q-matrix; cognitive assessment; consistency; diagnostic; self-learning

Year:  2013        PMID: 24812537      PMCID: PMC4011940          DOI: 10.3150/12-BEJ430

Source DB:  PubMed          Journal:  Bernoulli (Andover)        ISSN: 1350-7265            Impact factor:   1.595


  1 in total

1.  Measurement of psychological disorders using cognitive diagnosis models.

Authors:  Jonathan L Templin; Robert A Henson
Journal:  Psychol Methods       Date:  2006-09
  1 in total
  16 in total

1.  On the Consistency of Q-Matrix Estimation: A Commentary.

Authors:  Jingchen Liu
Journal:  Psychometrika       Date:  2015-12-02       Impact factor: 2.500

2.  Identifiability of Diagnostic Classification Models.

Authors:  Gongjun Xu; Stephanie Zhang
Journal:  Psychometrika       Date:  2015-07-09       Impact factor: 2.500

3.  An Exploratory Diagnostic Model for Ordinal Responses with Binary Attributes: Identifiability and Estimation.

Authors:  Steven Andrew Culpepper
Journal:  Psychometrika       Date:  2019-08-20       Impact factor: 2.500

4.  Estimating the Cognitive Diagnosis [Formula: see text] Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset.

Authors:  Steven Andrew Culpepper
Journal:  Psychometrika       Date:  2018-11-19       Impact factor: 2.500

5.  Hypothesis Testing of the Q-matrix.

Authors:  Yuqi Gu; Jingchen Liu; Gongjun Xu; Zhiliang Ying
Journal:  Psychometrika       Date:  2018-07-11       Impact factor: 2.500

6.  Statistical Analysis of Q-matrix Based Diagnostic Classification Models.

Authors:  Yunxiao Chen; Jingchen Liu; Gongjun Xu; Zhiliang Ying
Journal:  J Am Stat Assoc       Date:  2015       Impact factor: 5.033

7.  Robust Measurement via A Fused Latent and Graphical Item Response Theory Model.

Authors:  Yunxiao Chen; Xiaoou Li; Jingchen Liu; Zhiliang Ying
Journal:  Psychometrika       Date:  2018-03-12       Impact factor: 2.500

8.  Bayesian Estimation of the DINA Q matrix.

Authors:  Yinghan Chen; Steven Andrew Culpepper; Yuguo Chen; Jeffrey Douglas
Journal:  Psychometrika       Date:  2017-08-31       Impact factor: 2.500

9.  The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model.

Authors:  Yuqi Gu; Gongjun Xu
Journal:  Psychometrika       Date:  2018-05-04       Impact factor: 2.500

10.  A Sparse Latent Class Model for Cognitive Diagnosis.

Authors:  Yinyin Chen; Steven Culpepper; Feng Liang
Journal:  Psychometrika       Date:  2020-01-11       Impact factor: 2.500

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