Year: 2024
Type: article
Abstract: Multiple-choice questions (MCQs) remain popular in education due to their assessment efficiency, perceived objectivity, and capacity to provide rapid feedback. However, ensuring the quality of MCQs requires an in-depth item analysis to maintain assessment validity, reliability, and fairness. This study employs a quantitative descriptive method to evaluate the Differentiating power of MCQ items from an exam dataset. The analysis reveals that a vast majority of the test items require revision, while a smaller portion must be completely rejected. The findings suggest that rejected items should be discarded, whereas items needing correction must be improved to enhance the overall exam quality. Evaluating question quality is crucial for maximizing assessment effectiveness, particularly in high-stakes higher education environments
Authors: Fariz Zakaria, Wasis Haryo Sasoko, Ema Utami
Institution: Universitas Amikom Yogyakarta
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4401967956