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Kentaro Fukushima; Nao Uchida; Kensuke Okada – Journal of Educational and Behavioral Statistics, 2025
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…
Descriptors: Diagnostic Tests, Cognitive Measurement, Multiple Choice Tests, Educational Assessment
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DeCarlo, Lawrence T. – Journal of Educational Measurement, 2023
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,…
Descriptors: Multiple Choice Tests, Test Items, Item Analysis, Test Wiseness
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Azevedo, Jose Manuel; Oliveira, Ema P.; Beites, Patrícia Damas – International Journal of Information and Learning Technology, 2019
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…
Descriptors: Learning Analytics, Multiple Choice Tests, Test Theory, Item Response Theory
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Polat, Murat – International Online Journal of Education and Teaching, 2022
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…
Descriptors: Second Language Learning, Second Language Instruction, Item Response Theory, Language Tests
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Ayanwale, Musa Adekunle; Adeleke, Joshua Oluwatoyin; Mamadelo, Titilayo Iyabode – Journal of the International Society for Teacher Education, 2019
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)…
Descriptors: Test Theory, Item Response Theory, Scoring, National Competency Tests
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Selvi, Hüseyin; Özdemir Alici, Devrim – International Journal of Assessment Tools in Education, 2018
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…
Descriptors: Test Bias, Test Theory, Item Response Theory, Multiple Choice Tests
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Chin, Huan; Chew, Cheng Meng; Lim, Hooi Lian; Thien, Lei Mee – International Journal of Science and Mathematics Education, 2022
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…
Descriptors: Mathematics Instruction, Mathematics Tests, Multiple Choice Tests, Diagnostic Tests
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Relkin, Emily; de Ruiter, Laura; Bers, Marina Umaschi – Journal of Science Education and Technology, 2020
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…
Descriptors: Developmentally Appropriate Practices, Computation, Thinking Skills, Early Childhood Education
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Ramsay, James O.; Wiberg, Marie – Journal of Educational and Behavioral Statistics, 2017
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…
Descriptors: Scoring, Test Theory, Computation, Maximum Likelihood Statistics
Powell, J. C. – International Association for Development of the Information Society, 2013
This reflection paper challenges current test scoring practices on the grounds that most wrong-answer selections are thoughtful not random, presenting research supporting this proposition. An alternative test scoring system is presented, described and its outcomes discussed. This new scoring system increases the number of variables considered,…
Descriptors: Test Theory, Test Interpretation, Scoring, Multiple Choice Tests
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Opitz, Ansgar; Heene, Moritz; Fischer, Frank – Educational Research and Evaluation, 2017
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…
Descriptors: Thinking Skills, Logical Thinking, Science Process Skills, Science Instruction
Mark Smith – ProQuest LLC, 2014
Learning standards across the United States have increasingly called for history students to engage in aspects of "historical thinking," a term used to describe the complex disciplinary processes that historians use to make sense of the past. Although students are expected to learn these complex processes, little is known about how to…
Descriptors: History Instruction, Thinking Skills, Validity, National Competency Tests
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Williamson, Kathryn E.; Willoughby, Shannon; Prather, Edward E. – Astronomy Education Review, 2013
We introduce the Newtonian Gravity Concept Inventory (NGCI), a 26-item multiple-choice instrument to assess introductory general education college astronomy ("Astro 101") student understanding of Newtonian gravity. This paper describes the development of the NGCI through four phases: Planning, Construction, Quantitative Analysis, and…
Descriptors: Science Instruction, Scientific Concepts, Astronomy, College Science
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Herman, Geoffrey L.; Zilles, Craig; Loui, Michael C. – Computer Science Education, 2014
Concept inventories hold tremendous promise for promoting the rigorous evaluation of teaching methods that might remedy common student misconceptions and promote deep learning. The measurements from concept inventories can be trusted only if the concept inventories are evaluated both by expert feedback and statistical scrutiny (psychometric…
Descriptors: Psychometrics, Concept Formation, Measures (Individuals), Teaching Methods
Williamson, Kathryn Elizabeth – ProQuest LLC, 2013
The topic of Newtonian gravity offers a unique vantage point from which to investigate and encourage conceptual change because it is something with which everyone has daily experience, and because it is taught in two courses that reach a wide variety of students--introductory-level college astronomy ("Astro 101") and physics ("Phys…
Descriptors: Scientific Concepts, Science Tests, College Science, Astronomy
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