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--- knowledge_assessment:q-matrix [2012/07/05 13:09]
jpetrovic
+++ knowledge_assessment:q-matrix [2012/07/05 14:00]
jpetrovic
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 search is seeded with different random Q-matrices and the best of these is kept.
+When forming a correlation matrix, we lose individual student data in favor of calculating average relationships between questions. The q-matrix method is optimized to assign each student the most appropriate knowledge state, using all available response data for each student.
+As Sellers found in her research, the results obtained through
+q-matrix analysis seem to describe relationships among variables in interpretable ways.
+Factor analysis and principal components analysis, on the other hand, do not readily offer
+interpretable results.
+Later researchers found that, although the q-matrix model was a good way to compare student data to a concept model, expert-constructed q-matrices did not correspond to student data any better than random q-matrices did.

Learning Theories