Theoretical Approach to Reduced Q-Matrix for Cognition Diagnosis

Article Preview

Abstract:

The main issue of the Q-matrix theory for cognition diagnosis is how to find the reduced Q-matrix containing the all efficient items. In this paper, based on the attribute structure matrix transformation, a novel recognition function for an efficient item vector is proposed. Two fast algorithms, transformation algorithm and expansion algorithm for finding the reduced Q-matrix are proposed as well. Some important properties are also discussed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3145-3148

Citation:

Online since:

January 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] K. K. Tatsuoka. Journal OF Educational Measurement Vol. 20(4) (1983), P. 345.

Google Scholar

[2] K. K. Tatsuoka. and M. K. Tatsuoka. Journal OF Educational Measurement Vol. 34(1), P. 3 (1997).

Google Scholar

[3] K. K. Tatsuoka and J. E. Corter, Ameracan Educational Research Journal Vol. 41(4) (2004), P. 901.

Google Scholar