knowledge_assessment:q-matrix
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knowledge_assessment:q-matrix [2012/07/11 09:13] jpetrovic |
knowledge_assessment:q-matrix [2023/06/19 16:03] (current) |
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| + | ==== Discussion ==== | ||
| + | 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. | ||
| - | ((see Ham85 for a discussion of item-response theory)) | + | 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. |
| + | The findings in Brewer's previous research, which found that the factor analysis method performed poorly in comparison with the q-matrix method when fewer observations were available. | ||
| + | ==== Literature ==== | ||
| - | ==== Discussion ==== | + | [[http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4958804&tag=1|Shuqun, Yang, Cai Shenzheng, Yao Zhiqiang, and Ding Shuliang. “The Concept Lattices of Q-Matrices.” In First International Workshop on Education Technology and Computer Science, 2009. ETCS ’09, 1:413 –417, 2009. doi:10.1109/ETCS.2009.101.]] |
| - | 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. | + | [[http://coitweb.uncc.edu/~tbarnes2/itsfall04/papers/acm.pdf|Barnes, Bitzer. Fault Tolerant Teaching and Automated Knowledge Assessment.]] |
| - | 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. | + | [[http://repository.lib.ncsu.edu/ir/bitstream/1840.16/4612/1/etd.pdf|Barnes, Tiffany Michelle. “The Q-Matrix Method of Fault-Tolerant Teaching in Knowledge Assessment and Data Mining.” North Carolina State University, 2003.]] |
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| + | [[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.112.9876&rep=rep1&type=pdf|Barnes, M. T. The Q-Matrix Method: Mining Student Response Data for Knowledge.]] | ||
| - | The findings in Brewer's previous research, which found that the factor analysis method performed poorly in comparison with the q-matrix method when fewer observations were available. | ||
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