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A sequential cognitive diagnosis model for polytomous responses

A sequential cognitive diagnosis model for polytomous responses This paper proposes a general polytomous cognitive diagnosis model for a special type of graded responses, where item categories are attained in a sequential manner, and associated with some attributes explicitly. To relate categories to attributes, a category‐level Q‐matrix is used. When the attribute and category association is specified a priori, the proposed model has the flexibility to allow different cognitive processes (e.g., conjunctive, disjunctive) to be modelled at different categories within a single item. This model can be extended for items where categories cannot be explicitly linked to attributes, and for items with unordered categories. The feasibility of the proposed model is examined using simulated data. The proposed model is illustrated using the data from the Trends in International Mathematics and Science Study 2007 assessment. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png British Journal of Mathematical and Statistical Psychology Wiley

A sequential cognitive diagnosis model for polytomous responses

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References (37)

Publisher
Wiley
Copyright
Copyright © 2016 The British Psychological Society
ISSN
0007-1102
eISSN
2044-8317
DOI
10.1111/bmsp.12070
pmid
27317397
Publisher site
See Article on Publisher Site

Abstract

This paper proposes a general polytomous cognitive diagnosis model for a special type of graded responses, where item categories are attained in a sequential manner, and associated with some attributes explicitly. To relate categories to attributes, a category‐level Q‐matrix is used. When the attribute and category association is specified a priori, the proposed model has the flexibility to allow different cognitive processes (e.g., conjunctive, disjunctive) to be modelled at different categories within a single item. This model can be extended for items where categories cannot be explicitly linked to attributes, and for items with unordered categories. The feasibility of the proposed model is examined using simulated data. The proposed model is illustrated using the data from the Trends in International Mathematics and Science Study 2007 assessment.

Journal

British Journal of Mathematical and Statistical PsychologyWiley

Published: Nov 1, 2016

Keywords: ; ; ; ; ; ;

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