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Sato Test Kuramı Yöntemleriyle Farklı Örneklemlerden Elde Edilen Madde Parametrelerinin Tutarlılığının İncelenmesi

Year 2016, Volume: 7 Issue: 1, 170 - 181, 15.06.2016
https://doi.org/10.21031/epod.69276

Abstract

Bu araştırmada, aynı evrenden tesadüfi olarak seçilen örneklemlerden elde edilen Maddeler için Sınırlandırılmış Gri İlişki Derecelerinin (MİSGİD) tutarlılığının ve Madde Uyarı İndeksleri (MUİ) aracılığı ile gerçekleştirilen madde sınıflandırmaları arasındaki uyumun incelenmesi amaçlanmıştır. Bu amaç doğrultusunda, 20 madde ve bu maddelere dayalı 1000 adet yanıt örüntüsü simülasyon yoluyla elde edilmiş, yanıt örüntüleri içerisinden seçkisiz olarak seçilen ve 30 yanıt örüntüsü içeren 10 farklı veri seti (örneklem) oluşturulmuştur. Örneklemlerin her birinden elde edilen MİSGİD değerlerinin farklı örneklemler arası tutarlılığının belirlenebilmesi amacıyla Spearman Sıra Farkları Korelasyon Katsayıları hesaplanmış ve buna ek olarak değer ortalamaları arasındaki farkın anlamlılığı Kruskal Wallis-H Testi ile incelenmiştir. Ayrıca örneklemlerden elde edilen MUİ ile yapılan sınıflandırmaların ne oranda uyum gösterdiği yüzde oranlar yardımıyla incelenmiştir. Elde edilen bulgular, Sato Test Kuramında maddelerin kalitesinin belirlenebilmesi için üretilen MİSGİD parametrelerinin ve MUİ parametresine dayalı yapılan sınıflandırmaların tutarlı sonuçlar verdiğini göstermiştir.

References

  • de Ayala, R. J. (2009). The theory and practice of item response theory. New York: The Guilford Press.
  • Hambleton, R. K., Swaminathan, H., ve Rogers, H. (1991). Fundamentals of item response theory. Newbury Park CA: Sage.
  • Hambleton, R. K., ve van der Linden, W. J. (1997). Handbook of modern item response theory. New York:Springer.
  • Hulin, C. L., Lissak, R. I., ve Drasgow, F. (1982). Recovery of two and three-parameter logistic item characteristic curves: A Monte Carlo study. Applied Psychological Measurement, 6, 249-260.
  • Lin, Y.H., ve Chen, S.M. (2006). The investigation of S-P chart analysis on the test evaluations of equality axiom concepts for sixth graders. Proceedings of the 2nd International Conference on Educational Technologies, Romania, Bucharest.
  • Lin, Y.H., ve Yih, J.M. (2015). Application of IIRS in mathematics instruction to promote pupils decimal concept. The International Conference on Language, Education and Psychology, Taiwan.
  • Pham, D.H., Sheu, T.W., ve Nagai, M. (2015). PCSP 1.0 software for partial credit S-P chart analysis. International Journal of Hybrid Information Technology. 8(6), 309-322.
  • Ree, M. J., ve Jensen, H. E. (1983). Effects of sample size on linear equating of item characteristic curve parameters. In D. J. Weiss & R. D.
  • Bock (Eds.), New horizons in testing: Latent trait test theory and computerized adaptive testing (pp. 135-146). New York: Academic Press.
  • Suen, H.K. (1990). Principles of test theories. Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Sheu, T. W., Nguyen, P. T., Nguyen, P. H., Pham, D. H., Tsai, P. C., ve Nagai, M. (2014). A MATLAB toolbox for misconceptions analysis based on S-P chart, grey relational analysis and ROC. Transactions on Machine Learning and Artificial Intelligence, 2, 72-85.
  • Sheu, T.W., Nguyen, P.T., Tsai, C.P., Pham, D.H., Nguyen, P.H. ve Nagai,
  • M. (2014). Using grey student-problem chart in the evaluation of tests with large data sets. Education Practise and Innovation, 1(2), 2372-3106.
  • Sheu, T.W., Pham, D.H., Nguyen, P.T., ve Nguyen, P.H. (2013). Amatlab toolbox for student-problem chrt and grey student-problem chart and its application. International Journal of Kansei, 4(2), 75-86.
  • Switzer, D. M. ve Connell, M. L. (1990). Practical applications of student response analysis, Educational Measurement: Issue and Practice, 9, 15-17.
  • Wang, B.T., Sheu, T.W., ve Nagai, M. (2011). Evaluating the english-learning of engineering students using the grey S-P chart: a facebook case study in Taiwan. Global Journal of Engineering Education, 13(2), 51-56.
  • Wang, C.H. ve Chen, C.P. (2013). Employing online S-P diagnostic table for qualitative comments on test results. The Electronic Journal of e-Learning, 11(3), 263-271.
  • Wu, H. (1999). Software Based on S-P Chart Analysis and Its Applications. Proceedings of the National Science Council, 8, 102-107.
Year 2016, Volume: 7 Issue: 1, 170 - 181, 15.06.2016
https://doi.org/10.21031/epod.69276

Abstract

References

  • de Ayala, R. J. (2009). The theory and practice of item response theory. New York: The Guilford Press.
  • Hambleton, R. K., Swaminathan, H., ve Rogers, H. (1991). Fundamentals of item response theory. Newbury Park CA: Sage.
  • Hambleton, R. K., ve van der Linden, W. J. (1997). Handbook of modern item response theory. New York:Springer.
  • Hulin, C. L., Lissak, R. I., ve Drasgow, F. (1982). Recovery of two and three-parameter logistic item characteristic curves: A Monte Carlo study. Applied Psychological Measurement, 6, 249-260.
  • Lin, Y.H., ve Chen, S.M. (2006). The investigation of S-P chart analysis on the test evaluations of equality axiom concepts for sixth graders. Proceedings of the 2nd International Conference on Educational Technologies, Romania, Bucharest.
  • Lin, Y.H., ve Yih, J.M. (2015). Application of IIRS in mathematics instruction to promote pupils decimal concept. The International Conference on Language, Education and Psychology, Taiwan.
  • Pham, D.H., Sheu, T.W., ve Nagai, M. (2015). PCSP 1.0 software for partial credit S-P chart analysis. International Journal of Hybrid Information Technology. 8(6), 309-322.
  • Ree, M. J., ve Jensen, H. E. (1983). Effects of sample size on linear equating of item characteristic curve parameters. In D. J. Weiss & R. D.
  • Bock (Eds.), New horizons in testing: Latent trait test theory and computerized adaptive testing (pp. 135-146). New York: Academic Press.
  • Suen, H.K. (1990). Principles of test theories. Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Sheu, T. W., Nguyen, P. T., Nguyen, P. H., Pham, D. H., Tsai, P. C., ve Nagai, M. (2014). A MATLAB toolbox for misconceptions analysis based on S-P chart, grey relational analysis and ROC. Transactions on Machine Learning and Artificial Intelligence, 2, 72-85.
  • Sheu, T.W., Nguyen, P.T., Tsai, C.P., Pham, D.H., Nguyen, P.H. ve Nagai,
  • M. (2014). Using grey student-problem chart in the evaluation of tests with large data sets. Education Practise and Innovation, 1(2), 2372-3106.
  • Sheu, T.W., Pham, D.H., Nguyen, P.T., ve Nguyen, P.H. (2013). Amatlab toolbox for student-problem chrt and grey student-problem chart and its application. International Journal of Kansei, 4(2), 75-86.
  • Switzer, D. M. ve Connell, M. L. (1990). Practical applications of student response analysis, Educational Measurement: Issue and Practice, 9, 15-17.
  • Wang, B.T., Sheu, T.W., ve Nagai, M. (2011). Evaluating the english-learning of engineering students using the grey S-P chart: a facebook case study in Taiwan. Global Journal of Engineering Education, 13(2), 51-56.
  • Wang, C.H. ve Chen, C.P. (2013). Employing online S-P diagnostic table for qualitative comments on test results. The Electronic Journal of e-Learning, 11(3), 263-271.
  • Wu, H. (1999). Software Based on S-P Chart Analysis and Its Applications. Proceedings of the National Science Council, 8, 102-107.
There are 18 citations in total.

Details

Journal Section Articles
Authors

Sait Çüm This is me

Selahattin Gelbal

Ching-Pin Tsaı This is me

Publication Date June 15, 2016
Published in Issue Year 2016 Volume: 7 Issue: 1

Cite

APA Çüm, S., Gelbal, S., & Tsaı, C.-P. (2016). Sato Test Kuramı Yöntemleriyle Farklı Örneklemlerden Elde Edilen Madde Parametrelerinin Tutarlılığının İncelenmesi. Journal of Measurement and Evaluation in Education and Psychology, 7(1), 170-181. https://doi.org/10.21031/epod.69276