Diagnostic tests are typically administered in a multiple-choice (MC) format due to their advantages of objectivity and time efficiency. The MC-deterministic input, noisy "and" gate (DINA) family of models, a representative class of cognitive diagnostic models for MC items, efficiently and parsimoniously estimates the mastery profiles of…

A conceptualization of multiple-choice exams in terms of signal detection theory (SDT) leads to simple measures of item difficulty and item discrimination that are closely related to, but also distinct from, those used in classical item analysis (CIA). The theory defines a "true split," depending on whether or not examinees know an item,…

Purpose: The purpose of this paper is to find appropriate forms of analysis of multiple-choice questions (MCQ) to obtain an assessment method, as fair as possible, for the students. The authors intend to ascertain if it is possible to control the quality of the MCQ contained in a bank of questions, implemented in Moodle, presenting some evidence…

Foreign language testing is a multi-dimensional phenomenon and obtaining objective and error-free scores on learners' language skills is often problematic. While assessing foreign language performance on high-stakes tests, using different testing approaches including Classical Test Theory (CTT), Generalizability Theory (GT) and/or Item Response…

A scoring framework that does not reflect true performance of an examinee would ultimately result in an abnormal score. This study assessed invariance person estimates of 2017 Nigerian National Examinations Council Basic Education Certificate Examination Mathematics Multiple Choice using classical test theory (CTT) and item response theory (IRT)…

In this study, it is aimed to investigate the impact of different missing data handling methods on the detection of Differential Item Functioning methods (Mantel Haenszel and Standardization methods based on Classical Test Theory and Likelihood Ratio Test method based on Item Response Theory). In this regard, on the data acquired from 1046…

Cognitive Diagnostic Assessment (CDA) is an alternative assessment which can give a clear picture of pupils' learning process and cognitive structures to education stakeholders so that appropriate instructional strategies can be designed to tailored pupils' needs. Coincide with this function, the Ordered Multiple-Choice (OMC) items were…

There is a need for developmentally appropriate Computational Thinking (CT) assessments that can be implemented in early childhood classrooms. We developed a new instrument called "TechCheck" for assessing CT skills in young children that does not require prior knowledge of computer programming. "TechCheck" is based on…

This article promotes the use of modern test theory in testing situations where sum scores for binary responses are now used. It directly compares the efficiencies and biases of classical and modern test analyses and finds an improvement in the root mean squared error of ability estimates of about 5% for two designed multiple-choice tests and…

Education systems increasingly emphasize the importance of scientific reasoning skills such as "generating hypotheses" and "evaluating evidence." Despite this importance, we do not know which tests of scientific reasoning exist, which skills they emphasize, how they conceptualize scientific reasoning, and how well they are…