Using Muraki Model in Selecting Items for an E-assessment Questionnaire of Faculty Members at Al al-Bayt University

Abstract

This study aimed at using Muraki generalized partial credit model in selecting items for an electronic assessment questionnaire, which asses faculty members performance  at Al al-Bayt University, by using the responses of (348) students during the second semester of the academic year 2013/2014 in e-assessment consisting of (20) items. Students responses were analyzed according to the expectations of Muraki generalized partial credit model using statistical software (Winsteps, version 2.88; SPSS). Results of the analysis showed items’ fitting for all the items of an E-assessment Questionnaire with the expectations of the model, the reliability of the questionnaire has reached (0.97). In light of the findings of the study, the researcher recommends using a questionnaire consisting of (20) items to assess the performance of faculty members at Al al-Bayt University, and the need to be translated into English, and included instructions for the appropriate response to it.

Keywords: E-assessment, Item Response Theory, Muraki Generalized Partial Credit Model, Faculty Members Performance.