This study aimed at finding out the differences in item difficulty parameter
estimations for Simulated Data having (MC1- PL) Model in Item Response Theory (IRT)
according to the differences in a test Dimensions (3D; 2D; 1D), correlations between th
ese
dimensions (0.0, 0.50, 0.86), and the statistical program used in analyzing the data
(NOHARM ؛Bilog- MG3). The Monte Carlo simulations data having (MC1- PL) Model in
IRT using (RESGENT) program; that fully filled in a 21-item was used to achieve the
study aims. Data were analyzed using the statistical programs (NOHARM ؛Bilog- MG3).
The results revealed no statistically significant differences in item difficulty
parameter estimations that construct the multidimensional test within items due to
differences in a test, correlations between these dimensions, and the statistical program
used in analyzing the data (NOHARM ؛Bilog- MG3), as well as the estimations were
consistent and high. Finally, the study recommends using these statistical programs for a
data having (MC1- PL) Model, especially when similar assumptions are satisfied in a real
data.
هدفت هذه الدراسة إلى استقصاء أثر حجم العينة في تقدير معلمة صعوبة الفقرة ( Item Difficulty)
و الخطـأ المعيـاري تقـديرها فـي (Standard Error of Estimation)
باستخدام نظرية الاستجابة للفقرة (Theory Response Item) و لتحقيق أهـداف هـذه
الدراسة تم اشتقا
ق معلمة الصعوبة، و الخطأ المعياري في تقديرها باسـتخدام اختبـار
تحصيلي في الرياضيات للصف العاشر الأساسي تكون في صورته النهائية من (80)
فقرة من نوع الاختبار من المتعدد.
