In an educational setting, an estimate of the difficulty of Multiple-Choice Questions (MCQs), a commonly used strategy to assess learning progress, constitutes very useful information for both teachers and students. Since human assessment is costly from multiple points of view, automatic approaches to MCQ item difficulty estimation are…

Background/purpose: This study aimed to reveal the accuracy of estimation of multiple-choice test items parameters following the models of the item-response theory in measurement. Materials/methods: The researchers depended on the measurement accuracy indicators, which express the absolute difference between the estimated and actual values of the…

This study introduces a new chi-square test statistic for testing the equality of response frequencies among distracters in multiple-choice tests. The formula uses the information from the number of correct answers and wrong answers, which becomes the basis of calculating the expected values of response frequencies per distracter. The method was…

To assemble a high-quality test, psychometricians rely on subject matter experts (SMEs) to write high-quality items. However, SMEs are not typically given the opportunity to provide input on which content standards are most suitable for multiple-choice questions (MCQs). In the present study, we explored the relationship between perceived MCQ…

When describing motion in physics, the selection of a frame of reference is crucial. The graph of a moving object can look quite different based on the frame of reference. In recent years, various tests have been developed to assess the interpretation of kinematic graphs, but none of these tests have specifically addressed differences in reference…

The intricate relationship between representational competence and content knowledge in organic chemistry has been widely debated, and the ways in which representations contribute to task difficulty, particularly in assessment, remain unclear. This paper presents a multiple-choice test instrument for assessing individuals' knowledge of fundamental…

This article is concerned with the statistical detection of copying on multiple-choice exams. As an alternative to existing permutation- and model-based copy-detection approaches, a simple randomization p-value (RP) test is proposed. The RP test, which is based on an intuitive match-score statistic, makes no assumptions about the distribution of…

A better understanding of how distractor features influence the plausibility of distractors is essential for an efficient multiple-choice (MC) item construction in educational assessment. The plausibility of distractors has a major influence on the psychometric characteristics of MC items. Our analysis utilizes the nominal categories model to…

Linear logistic test models (LLTMs), leveraging item response theory and linear regression, offer an elegant method for learning about item characteristics in complex content areas. This study used LLTMs to model single-best-answer, multiple-choice-question response data from two medical subspecialty certification examinations in multiple years…

Multiple Choice Questions (MCQs) are an important evaluation technique for both examinations and learning activities. However, the manual creation of questions is time-consuming and challenging for teachers. Hence, there is a notable demand for an Automatic Question Generation (AQG) system. Several systems have been created for this aim, but the…

It is imperative to collect validity evidence prior to interpreting and using test scores. During the process of collecting validity evidence, test developers should consider whether test scores are contaminated by sources of extraneous information. This is referred to as construct irrelevant variance, or the "degree to which test scores are…

This study aims to evaluate the quality of English reading comprehension test instruments used in informal learning, especially as English literacy tests. With a quantitative approach, the analysis was carried out using the Rasch model through the Quest program on 30 multiple-choice questions given to 30 grade IX students from informal educational…

Multiple-choice questions (MCQs) are popular in vocabulary software because they can be scored automatically and are compatible with many input devices (e.g., touchscreens). Answering MCQs is beneficial for learning, especially when learners retrieve knowledge from memory to evaluate plausible answer alternatives. However, such retrieval may not…

Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…

This study aimed to develop a standardised instrument for diagnosing science misconceptions in primary school children. Following a developmental research approach using the 4-D model (Define, Design, Develop, Disseminate), 100 four-tier multiple choice items were constructed. Content validity was established through expert evaluation by six…