تقديرات المعالم للفقرات ودقتها وفقا للنموذج اللوجستي ثلاثي المعلمة أثناء معالجة القيم المتطرفة في اختبارات تيمس الدولية (TIMSS, 2011)‎

الملخص EN

This study aimed to identify the percent of Outlier values in TIMSS international tests (TIMSS, 2011) and the impact of the method of treatment (deleting, keeping, replacement) in the students' scores at TIMSS test in accuracy of the estimation Items Parameters according to item response theory according to the used three–parameter logistic model.

The sample consisted of (531) students, and pointed out the Outlier values by the Boxplot method.

It used the trimmed mean in replacing the Outlier values, and it used the standard error for accuracy of estimating, which showed there were Outlier value at the maths data percent of %6.40, Outlier values in science percent of %8.29.

The results showed that the method of deleting the Outlier values had a positive effect, and it was advised that it was the best and the most successful method of Treatment with the Outlier values in TIMSS 2011 in maths on the mean estimated Items parameters (discrimination and guessing) and its accuracy, and in science on the mean estimated discrimination parameter and its accuracy.The method of keeping the Outlier values had a positive effect, and it is advised that it was the best and the most successful method of Treatment with the Outlier values in TIMSS 2011 in science on the mean estimated Items parameters (difficulties).