Assessing the performance of classical test theory item discrimination estimators in Monte Carlo simulations
Author:
Funder
Consejo Nacional de Ciencia y Tecnología
Publisher
Springer Science and Business Media LLC
Subject
Education
Link
http://link.springer.com/article/10.1007/s12564-017-9507-4/fulltext.html
Reference37 articles.
1. Alemoni, L. M., & Spencer, R. E. (1969). A comparison of biserial discrimination, point-biserial discrimination, and difficulty indices in item analysis data. Educational and Psychological Measurement, 29, 353–358.
2. Baker, F. B., & Kim, S. H. (2004). Item response theory: Parameter estimation techniques. Boca Raton, FL: CRC Press.
3. Bechger, T. M., Maris, G., Verstralen, H. H., & Béguin, A. A. (2003). Using classical test theory in combination with item response theory. Applied Psychological Measurement, 27(5), 319–334.
4. Berk, R. A., & Griesemer, H. A. (1976). ITEMAN: An item analysis program for tests, questionnaires, and scales. Educational and Psychological Measurement, 36(1), 189–191.
5. Beuchert, A., & Mendoza, J. L. (1979). A Monte Carlo comparison of ten item discrimination indices. Journal of Educational Measurement, 16(2), 109–117.
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