Analysis of Experiments of a New Approach for Test Quality Evaluation
Keywords:
Test quality, Shannon entropy, Average mutual information, Classical test theory, Item response theoryAbstract
In the previous paper [1] we suggested a new model of test quality evaluation based on Information measures such as Shannon entropy and average mutual information. To establish the practical bounds of these measures and the required number of examinees, some experiments were conducted. In this paper the analysis of these experiments are provided.
References
M. Haroutunian and V. Avetisyan, “New approach for test quality evaluation based on Shannon Information measures”, Transactions of IPIA of NAS RA, Mathematical Problems of Computer Science, vol. 44, pp. 7-21, 2015.
M. B. Chelishkova, Theory and practice of pedagogical tests constructing, Moscow: Logos, 2002.
C. DeMars, Item Response Theory. Oxford University Press; 1 edition, 2010.
K. Hambleton and W. Jones, “Comparison of classical test theory and item response theory and their applications to test development”, Educational Measurement: Issues andPractice, vol.12, no. 3, pp. 38-47, 1993.
M. Haroutunian and V. Avetisyan, “Development of the test quality evaluation system”, Proceedings of the International Conference on Computer Science and Information Technologies (CSIT 2015), Yerevan, Armenia, September 28-October 2, pp. 372-375, 2015.
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