This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
knowledge_assessment:q-matrix [2012/07/05 13:34] jpetrovic |
knowledge_assessment:q-matrix [2012/07/05 14:00] jpetrovic |
||
---|---|---|---|
Line 26: | Line 26: | ||
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. | 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. |