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The Exploratory and Confirmatory Factorial Structure of Test-Wiseness Scale: A Field Study on a Sample of Students in Hama University
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The current research aims to recognize the exploratory and confirmatory factorial structure of the test-wiseness scale on a sample of Hama University students, using the descriptive method. Thus, the sample consists of (472) male and female students from the faculties of the University of Hama. Besides, Abu Hashem’s 50 item test-wiseness scale (2008) has been used. The validity and reliability of the items of the scale have also been verified, and six items have been deleted accordingly. The results of the exploratory factor analysis of the first degree have shown the presence of the following five acceptable factors: (exam preparation, test time management, question paper handling, answer sheet handling, and revision).  Moreover,  (63.391%) of the overall variance has been explained. By conducting the second degree of the factorial analysis of the five factors, it has been shown that there is one main factor that is acceptable. Its eigenvalues are (2.821). In addition, (56.429%) of the overall variation has been illustrated and identified as a factor (test-wiseness). The results of the confirmatory factor analysis have also revealed that there is a congruence between the supposed model and the realistic model, and that the 44 item test-wiseness scale in its modified Syrian form is characterized by its high indicators of validity (content validity, structural validity, discriminative validity) and reliability (split half, internal consistency using Cronbach's alpha coefficient).

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Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
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        In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through  Monte Carlo simulation technique were made depend on mean squared error (MSE)  criteria

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