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.
Original language | English (US) |
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Pages (from-to) | 1790-1817 |
Number of pages | 28 |
Journal | Bernoulli |
Volume | 19 |
Issue number | 5 A |
DOIs | |
State | Published - 2013 |
Keywords
- Classification model
- Cognitive assessment
- Consistency
- Diagnostic
- Q-matrix
- Self-learning