Hajir Mahmood Ibrahim Alallo

Multiple-choice (MC) item format is commonly used in educational assessments due to its economy and effectiveness across a variety of content domains. However, numerous studies have examined the quality of MC items in high-stakes and higher education assessments and found many flawed items, especially in terms of distractors. These faulty items lead to misleading insights about the performance of students and the final decisions. The analysis of distractors is typically conducted in educational assessments with multiple-choice items to ensure high quality items are used as the basis of inference. Item response theory (IRT) and Rasch models have received little attention for analyzing distractors. For that reason, the purpose of the present study was to apply the Rasch model, to a grammar test to analyze items’ distractors of the test. To achieve this, the current study investigated the quality of 10 instructor-written MC grammar items used in an undergraduate final exam, using the items responses of 310 English as a foreign language (EFL) students who had taken part in an advanced grammar course. The results showed the acceptable fit to the Rasch model and high reliability. Malfunctioning distractors were identified.

Reading aloud is recommended as a simple technique to measure speaking ability (Hughes & Hughes, 2020; Madsen, 1983). Reading aloud is currently used in the Pearson Test of English and a couple of other international English as a second language proficiency tests. Due to the simplicity of the technique, it can be used in conjunction with other techniques to measure foreign and second language learners’ speaking ability. One issue in reading aloud as a testing technique is its psychometric modelling. Because of the peculiar structure of reading aloud tasks, analysing them with item response theory models is not straightforward. In this study, the Rasch partial credit model (PCM) is suggested and used to score examinees’ reading aloud scores. The performances of 196 foreign language learners on five reading aloud passages were analysed with the PCM. Findings showed that the data fit the RPCM well and the scores are highly reliable. Implications of the study for psychometric evaluation of reading aloud or oral reading fluency are discussed.