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Wind, Stefanie A.; Walker, A. Adrienne – Educational Measurement: Issues and Practice, 2021
Many large-scale performance assessments include score resolution procedures for resolving discrepancies in rater judgments. The goal of score resolution is conceptually similar to person fit analyses: To identify students for whom observed scores may not accurately reflect their achievement. Previously, researchers have observed that…
Descriptors: Goodness of Fit, Performance Based Assessment, Evaluators, Decision Making
Krell, Moritz; Samia Khan; Jan van Driel – Education Sciences, 2021
The development and evaluation of valid assessments of scientific reasoning are an integral part of research in science education. In the present study, we used the linear logistic test model (LLTM) to analyze how item features related to text complexity and the presence of visual representations influence the overall item difficulty of an…
Descriptors: Cognitive Processes, Difficulty Level, Science Tests, Logical Thinking
Kim, Seonghoon; Kolen, Michael J. – Applied Measurement in Education, 2019
In applications of item response theory (IRT), fixed parameter calibration (FPC) has been used to estimate the item parameters of a new test form on the existing ability scale of an item pool. The present paper presents an application of FPC to multiple examinee groups test data that are linked to the item pool via anchor items, and investigates…
Descriptors: Item Response Theory, Item Banks, Test Items, Computation
Wang, Lin – ETS Research Report Series, 2019
Rearranging response options in different versions of a test of multiple-choice items can be an effective strategy against cheating on the test. This study investigated if rearranging response options would affect item performance and test score comparability. A study test was assembled as the base version from which 3 variant versions were…
Descriptors: Multiple Choice Tests, Test Items, Test Format, Scores
Leo, J.; Kurdi, G.; Matentzoglu, N.; Parsia, B.; Sattler, U.; Forge, S.; Donato, G.; Dowling, W. – International Journal of Artificial Intelligence in Education, 2019
Designing good multiple choice questions (MCQs) for education and assessment is time consuming and error-prone. An abundance of structured and semi-structured data has led to the development of automatic MCQ generation methods. Recently, ontologies have emerged as powerful tools to enable the automatic generation of MCQs. However, current question…
Descriptors: Multiple Choice Tests, Test Items, Automation, Test Construction
Lee, Yi-Hsuan; Haberman, Shelby J.; Dorans, Neil J. – Journal of Educational Measurement, 2019
In many educational tests, both multiple-choice (MC) and constructed-response (CR) sections are used to measure different constructs. In many common cases, security concerns lead to the use of form-specific CR items that cannot be used for equating test scores, along with MC sections that can be linked to previous test forms via common items. In…
Descriptors: Scores, Multiple Choice Tests, Test Items, Responses
Çiftçi, Sabahattin – International Electronic Journal of Elementary Education, 2019
Open-ended exams and multiple-choice exams are two types of examinations that are highly preferred in educational sciences. They have several advantages in terms of their characteristics, and they also have some limitations. These advantages and limitations affect the use of these exams both in national exams and in the exams administered by…
Descriptors: Multiple Choice Tests, Test Format, Preservice Teachers, Figurative Language
Pelanek, Radek – IEEE Transactions on Learning Technologies, 2020
Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification framework for such exercises. The framework classifies exercises in three main aspects: (1) the primary type of interaction; (2) the presentation mode; and (3) the…
Descriptors: Integrated Learning Systems, Classification, Multiple Choice Tests, Problem Solving
Cong, Xin; Zhang, Yan; Xu, Hai; Liu, Li-Mei; Zheng, Ming; Xiang, Ruo-Lan; Wang, Jin-Yu; Jia, Shi; Cai, Jing-Yi; Liu, Cheng; Wu, Li-Ling – Advances in Physiology Education, 2020
Current interdisciplinary medical training calls for reforms and innovations in the assessment of pathophysiology education. Formative assessment is used to monitor student learning to provide ongoing feedback that can improve both learning and teaching. Beginning in 2016, we implemented a formative assessment composed of case-based…
Descriptors: Formative Evaluation, Psychophysiology, Student Attitudes, Case Method (Teaching Technique)
Miller, Ronald Mellado; Andrade, Maureen Snow – Research & Practice in Assessment, 2020
Technology use is increasing in higher education, particularly for test administration. In this study, Capaldi's (1994) sequential theory, which postulates that the specific order of reinforcements and nonreinforcements influences persistence in the face of difficulty or failure, was applied to online multiple choice testing situations in regard…
Descriptors: Computer Assisted Testing, Higher Education, Multiple Choice Tests, Test Format
Calimeris, Lauren; Kosack, Edward – Journal of Economic Education, 2020
In this study, the authors investigate the impact of the Immediate Feedback Assessment Technique (IF-AT) on student learning outcomes in principles of microeconomics classes. The IF-AT enables students to receive immediate feedback and to retry questions for partial credit. The authors use a randomized experiment to evaluate the effect of the…
Descriptors: Feedback (Response), Tests, Microeconomics, Introductory Courses
Ng, Emily – International Journal of Adult Education and Technology, 2020
The resources and time constraints of assessing large classes are always weighed up against the validity, reliability, and learning outcomes of the assessment tasks. With the digital revolution in the 21st Century, educators can benefit from computer technology to carry out a large-scale assessment in higher education more efficiently. In this…
Descriptors: Nursing Students, Computer Assisted Testing, Student Evaluation, Multiple Choice Tests
Moon, Jung Aa; Sinharay, Sandip; Keehner, Madeleine; Katz, Irvin R. – International Journal of Testing, 2020
The current study examined the relationship between test-taker cognition and psychometric item properties in multiple-selection multiple-choice and grid items. In a study with content-equivalent mathematics items in alternative item formats, adult participants' tendency to respond to an item was affected by the presence of a grid and variations of…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Test Wiseness, Psychometrics
Jimoh, Mohammed Idris; Daramola, Dorcas Sola; Oladele, Jumoke Iyabode; Sheu, Adaramaja Lukman – Anatolian Journal of Education, 2020
The study investigated items that were prone to guessing in Senior School Certificate Examinations (SSCE) Economics multiple-choice tests among students in Kwara State, Nigeria. The 2016 West African Senior Secondary Certificate Examinations (WASSCE) and National Examinations Council (NECO) Economics multiple-choice test items were subjected to…
Descriptors: Foreign Countries, High School Students, Guessing (Tests), Test Items
Rao, Dhawaleswar; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2020
Automatic multiple choice question (MCQ) generation from a text is a popular research area. MCQs are widely accepted for large-scale assessment in various domains and applications. However, manual generation of MCQs is expensive and time-consuming. Therefore, researchers have been attracted toward automatic MCQ generation since the late 90's.…
Descriptors: Multiple Choice Tests, Test Construction, Automation, Computer Software

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