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Using Rasch Model for Scaling College Maladjustment Test of Minnesota Multiphasic Personality Revision (MMPI2) and Studying Factors Affecting the Accuracy of Measurement

استخدام نموذج راش في تدريج مقياس سوء التكيف الدراسي من اختبار منيسوتا "MMPI-2 " لدراسة بعض العوامل المؤثرة على دقة القياس

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 Publication date 2015
and research's language is العربية
 Created by Shamra Editor




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The current research aims to study the effectiveness of Rush model in the grading scale of poor school adjustment College Maladjustment test of the second version of Minnesota Multiphasic Personality Revision Minnesota test. It also aims to test the effectiveness of the sample of study on the results of the grading scale poor school adjustment using the accuracy Criteria of the standard error and stability and information function. The search results after staging reach a form Summary of the scale process saves time and effort after the staging process listed unit Logit so were some of the vocabulary is appropriate to exclude according to suitability index note that the deletion of the vocabulary has not been on a diagnostic basis, according to statistical values for Bilog, and therefore an instrument enjoy a high level of accuracy extend specialist holistic perspective for all effects and health problems and social and psychological responsible for poor school adjustment, note that access to treatment is successful but accurate assessment that gives reliable results in the treatment process. As it turns out that the best size of the sample in the staging process is (700) after any medium samples tested small samples (300) and large samples (2000) and in accordance with the Criteria for the three-precision, a standard error and stability and function information.


Artificial intelligence review:
Research summary
يهدف البحث الحالي إلى دراسة فعالية نموذج راش في تدريج مقياس سوء التكيف الدراسي من اختبار منيسوتا النسخة الثانية (MMPI-2)، واختبار تأثير حجم العينة على دقة القياس باستخدام محكات الدقة مثل الخطأ المعياري والثبات ودالة المعلومات. تبين من النتائج أن أفضل حجم للعينة هو 700 فرد، حيث يوفر هذا الحجم توازنًا بين الدقة والثبات. كما تم التوصل إلى شكل مختصر للمقياس يوفر الوقت والجهد بعد استبعاد بعض البنود غير الملائمة. يساهم هذا المقياس في تقديم أداة دقيقة للأخصائيين لتشخيص مشاكل التكيف الدراسي بشكل شامل، مما يسهم في الوصول إلى علاج ناجح بناءً على تقييم دقيق.
Critical review
دراسة نقدية: يعد البحث خطوة مهمة نحو تحسين أدوات القياس النفسي، إلا أن هناك بعض النقاط التي يمكن مناقشتها. أولاً، على الرغم من أن نموذج راش أثبت فعاليته في تدريج المقياس، إلا أن الاعتماد على برنامج بايلوج فقط قد يحد من تعميم النتائج. يفضل استخدام برامج إحصائية متعددة للتحقق من صحة النتائج. ثانيًا، تم التركيز على حجم العينة وتأثيره على دقة القياس، ولكن لم يتم التطرق بشكل كافٍ إلى تأثير العوامل الأخرى مثل التنوع الثقافي والبيئي للعينة. أخيرًا، يمكن أن تكون النتائج أكثر قوة إذا تم تطبيق المقياس على عينات من بيئات تعليمية مختلفة للتحقق من عمومية النتائج.
Questions related to the research
  1. ما هو الهدف الرئيسي من البحث؟

    الهدف الرئيسي هو دراسة فعالية نموذج راش في تدريج مقياس سوء التكيف الدراسي من اختبار منيسوتا النسخة الثانية واختبار تأثير حجم العينة على دقة القياس.

  2. ما هي أفضل حجم للعينة وفقًا للبحث؟

    أفضل حجم للعينة هو 700 فرد، حيث يوفر توازنًا بين الدقة والثبات.

  3. ما هي الأدوات المستخدمة في البحث؟

    الأدوات المستخدمة تشمل مقياس سوء التكيف الدراسي من اختبار منيسوتا النسخة الثانية وبرنامج بايلوج لتحليل البيانات.

  4. ما هي النتائج الرئيسية للبحث؟

    النتائج الرئيسية تشمل التوصل إلى شكل مختصر للمقياس يوفر الوقت والجهد، وتحديد أن حجم العينة 700 فرد هو الأفضل لتحقيق دقة وثبات في القياس.


References used
GHO, K.A ؛ ATHANASOU, J.L. Estimation The Hausman Test For Rasch With Poorly Fitting Item. University Of New Castle And Technology , Sydney, 2001,300
AFRSSA , T.M ؛ KEEVES , J.S. Changes In Student s Mathematics Achievement In Australian Lower Secondary Schools Over Time . International Education Journal ,NewYork, vol.1 , No 1 , 1999 , 1 – 21
GREECE, H.A. Evaluation Of Information Professi- onals Competency Face Validity Test Using Rasch Model. International Conference On Engineering Education, 5th WSEAS / IASME, 2008 , 396 - 404
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