The Differences in Item Difficulty Parameter Estimations for Simulated Data having (MC1- PL) Model in Item Response Theory.

Authors

  • Iyad Hamadneh
  • Wael Al-Shurman

Abstract

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 these 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.

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Published

2016-09-26

How to Cite

Hamadneh, I. . ., & Al-Shurman, W. . . (2016). The Differences in Item Difficulty Parameter Estimations for Simulated Data having (MC1- PL) Model in Item Response Theory. Tishreen University Journal- Arts and Humanities Sciences Series, 37(6). Retrieved from https://journal.tishreen.edu.sy/index.php/humlitr/article/view/2000

Issue

Vol. 37 No. 6 (2015): الآداب والعلوم الانسانية

Section

Articles

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