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Register a new userUsing Rasch Model in Rating Cognitive Abilities Test (CogAT) for a Sample of Kindergarten Children and First and Second Grade of Primary Teaching Students
استخدام نموذج راش في تدريج اختبار القدرات المعرفية لدى عينة من أطفال الروضة و تلاميذ الصف الأول و الثاني من التعليم الأساسي
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Added by
Tishreen University ورقة بحثية
Publication date
2013
fields
Education
and research's language is
العربية
Created by
Shamra Editor
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هدفت هذه الدراسة إلى تدريج اختبار القدرات المعرفية (البطارية التمهيدية) باستخدام نموذج راش أحادي المعلم, إضافة إلى عمل المعايير المختلفة التي تفسر القدرات المختلفة للأفراد و قد تم تطبيق الاختبار على عينة من أطفال رياض الأطفال و تلاميذ الصف الأول و الثاني من مدارس محافظة اللاذقية بلغ عددها (1081) تلميذاً و تلميذة و استخدم برنامج الspss و برنامج الwinsteps لإجراء المعالجات الإحصائية اللازمة وفقاً لنموذج راش, و توصلت نتائج الدراسة إلى حذف (38) بنداً من بنود اختبار القدرات المعرفية ليبلغ عدد بنود الاختبار بعد تدريجه باستخدام نموذج راش (172), و إلى التحقق من صدق و ثبات هذا الاختبار بعد تدريجه, و إلى عمل المعايير المختلفة من رتب مئينية , و درجات تائية, و نسب ذكاء انحرافية مقابلة للتقديرات المختلفة للأفراد.
This study aimed at arranging the items of cognitive abilities test (primary battery) by using Rash s one parameter model , In addition ,different forms for interpreting the individuals level of ability were carried out. The test was conducted on a sample of (1081) students from Lattakia schools and kindergarten . using "SPSS" program and Winsteps for statistical treatment in accordance with Rasch Model. The results showed the necessity of omitting (38) items of cognitive abilities test because they were not fitting the model. The remain items that were left were (172). And proved the validity and the reliability of the test. Moreover, the present study form criteria for percentiles rank, T scores, and standardized intelligent quiescent that equal for the different individual ability.
References used
Emberston . S and Reise . S . Item response theory for psychologists Multivariate Applications Book sevies , Lawrence Erlbaum Associate,2000.Pp5
Fienbery . E . S and Vander linder . J . W . Baysian item response Modeling ,Springer ,2010.Pp13
Hambleton. R. k and Swaminathan. H. Item Response Theory Principles and Applications ..Kluwer Nijhoff Publishing,1985,Pp46
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