Literature DB >> 27714544

A Procedure for Assessing the Completeness of the Q-Matrices of Cognitively Diagnostic Tests.

Hans-Friedrich Köhn1, Chia-Yi Chiu2.   

Abstract

The Q-matrix of a cognitively diagnostic test is said to be complete if it allows for the identification of all possible proficiency classes among examinees. Completeness of the Q-matrix is therefore a key requirement for any cognitively diagnostic test. However, completeness of the Q-matrix is often difficult to establish, especially, for tests with a large number of items involving multiple attributes. As an additional complication, completeness is not an intrinsic property of the Q-matrix, but can only be assessed in reference to a specific cognitive diagnosis model (CDM) supposed to underly the data-that is, the Q-matrix of a given test can be complete for one model but incomplete for another. In this article, a method is presented for assessing whether a given Q-matrix is complete for a given CDM. The proposed procedure relies on the theoretical framework of general CDMs and is therefore legitimate for CDMs that can be reparameterized as a general CDM.

Entities:  

Keywords:  G-DINA; LCDM; Q-matrix; cognitive diagnosis; completeness; general cognitive diagnostic models

Mesh:

Year:  2016        PMID: 27714544     DOI: 10.1007/s11336-016-9536-7

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  7 in total

1.  Measurement of psychological disorders using cognitive diagnosis models.

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

2.  A general diagnostic model applied to language testing data.

Authors:  Matthias von Davier
Journal:  Br J Math Stat Psychol       Date:  2007-03-22       Impact factor: 3.380

3.  The Reduced RUM as a Logit Model: Parameterization and Constraints.

Authors:  Chia-Yi Chiu; Hans-Friedrich Köhn
Journal:  Psychometrika       Date:  2015-04-03       Impact factor: 2.500

4.  The DINA model as a constrained general diagnostic model: Two variants of a model equivalency.

Authors:  Matthias von Davier
Journal:  Br J Math Stat Psychol       Date:  2013-01-08       Impact factor: 3.380

5.  Hierarchical diagnostic classification models: a family of models for estimating and testing attribute hierarchies.

Authors:  Jonathan Templin; Laine Bradshaw
Journal:  Psychometrika       Date:  2014-01-30       Impact factor: 2.500

6.  Theory of the Self-learning Q-Matrix.

Authors:  Jingchen Liu; Gongjun Xu; Zhiliang Ying
Journal:  Bernoulli (Andover)       Date:  2013-11-01       Impact factor: 1.595

7.  Data-Driven Learning of Q-Matrix.

Authors:  Jingchen Liu; Gongjun Xu; Zhiliang Ying
Journal:  Appl Psychol Meas       Date:  2012-10
  7 in total
  5 in total

1.  Consistency Theory for the General Nonparametric Classification Method.

Authors:  Chia-Yi Chiu; Hans-Friedrich Köhn
Journal:  Psychometrika       Date:  2019-02-06       Impact factor: 2.500

2.  A Residual-Based Approach to Validate Q-Matrix Specifications.

Authors:  Jinsong Chen
Journal:  Appl Psychol Meas       Date:  2017-01-23

3.  A Sequential Higher Order Latent Structural Model for Hierarchical Attributes in Cognitive Diagnostic Assessments.

Authors:  Peida Zhan; Wenchao Ma; Hong Jiao; Shuliang Ding
Journal:  Appl Psychol Meas       Date:  2019-03-04

4.  Cognitive Diagnosis for Small Educational Programs: The General Nonparametric Classification Method.

Authors:  Chia-Yi Chiu; Yan Sun; Yanhong Bian
Journal:  Psychometrika       Date:  2017-11-17       Impact factor: 2.500

5.  Introducing the General Polytomous Diagnosis Modeling Framework.

Authors:  Jinsong Chen; Jimmy de la Torre
Journal:  Front Psychol       Date:  2018-08-22
  5 in total

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