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إعداد خطة قبول خمسية للطلبة في كلية الإدارة والاقتصاد/ جامعة بغداد باستخدام منهجية (بوكس – جينكنز) لتحليل السلاسل الزمنية
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المستخلص:

 إن من أهم عوامل نجاح أي مؤسسة (سواء كانت مؤسسة تعليمية أم غيرها من المؤسسات) هو التخطيط الاستراتيجي السليم المبني على أساس علمي ونظام واقعي متكامل بعيداً عن التخمين والحدس.

تتمثل مشكلة البحث بوجود تفاوت بين أعداد الطلبة المقبولين فعلاً والطلبة المخطط قبولهم في الدراسات الأولية بكلية الإدارة والاقتصاد بجامعة بغداد في كل عام دراسي حيث غالباً كانت أعداد الطلبة المقبولين فعلاً أكثر من المخطط قبولهم مما يشير إلى عدم وجود آلية علمية واضحة للتنبؤ بأعداد الطلبة المتوقع قبولهم (المخطط قبولهم) لكل عام دراسي، وهذا بدوره أدى إلى عدم تطوير الطاقة الاستيعابية للكلية بشكل يتناسب مع الزيادة الحاصلة في أعداد الطلبة المقبولين فعلاً في كل عام دراسي.

لقد جاء هذا البحث بهدف إعداد خطة قبول خمسية لطلبة الدراسات الأولية في الكلية المذكورة باستخدام منهجية (بوكس – جنيكنز) في تحليل السلاسل الزمنية كونها لا تزال تعتبر من الأساليب الحديثة المعتمدة في العديد من الدراسات في الوقت الراهن.

تم تحليل السلسلة الزمنية المتمثلة بأعداد الطلبة المقبولين فعلاً في الدراسة الأولية بالكلية المذكورة للأعوام الدراسية السابقة (من 1990/1991 إلى 2014/2015). لقد خلص البحث إلى أن أنموذجARIMA ( 3,1,0 )  هو الأنموذج الوحيد الممثل لبيانات السلسلة الزمنية تمثيلاً جيداً حيث كانت جميع معلماته معنوية، فضلاً عن اجتيازه لاختبارات الدقة. وقد أوصى البحث باعتماده في إعداد خطط القبول المستقبلية.

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Sat Feb 01 2014
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Fri Jun 01 2012
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Sun Oct 02 2016
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مانسبة المهارات الرياضية المتضمنة في كل فص

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Mon Apr 04 2022
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The current study examined the effect of different sample sizes to detect the Item differential functioning (DIF). The study has used three different sizes of the samples (300, 500, 1000), as well as to test a component of twenty polytomous items, where each item has five categories. They were used Graded Response Model as a single polytomous item response theory model to estimate items and individuals’ parameters. The study has used the Mantel-Haenszel (MH) way to detect (DIF) through each case for the different samples. The results of the study showed the inverse relationship between the sample size and the number of items, which showed a differential performer.

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