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Azaan Vhora; Ryan L. Davies; Kylie Rice – Psychology Learning and Teaching, 2024
Background: Objective Structured Clinical Examinations (OSCEs) are a simulation-based assessment tool used extensively in medical education for evaluating clinical competence. OSCEs are widely regarded as more valid, reliable, and valuable compared to traditional assessment measures, and are now emerging within professional psychology training…
Descriptors: Psychology, Higher Education, Psychometrics, Objective Tests
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Wang, Dang; Liu, Hongyun; Hau, Kit-Tai – Education and Information Technologies, 2022
Critical thinking is one of the important higher-order skills very much treasured in education, but hard to be measured using paper-pencil tests. In line with recent recommendation to measure high-order thinking skills with interactive tasks (vs. static one set of questions), in this study we developed an interactive and automated game-based…
Descriptors: Game Based Learning, Evaluation Methods, Critical Thinking, Simulation
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Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
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Tsaousis, Ioannis; Sideridis, Georgios D.; AlGhamdi, Hannan M. – Journal of Psychoeducational Assessment, 2021
This study evaluated the psychometric quality of a computerized adaptive testing (CAT) version of the general cognitive ability test (GCAT), using a simulation study protocol put forth by Han, K. T. (2018a). For the needs of the analysis, three different sets of items were generated, providing an item pool of 165 items. Before evaluating the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Cognitive Ability
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Gattamorta, Karina A.; Penfield, Randall D.; Myers, Nicholas D. – International Journal of Testing, 2012
Measurement invariance is a common consideration in the evaluation of the validity and fairness of test scores when the tested population contains distinct groups of examinees, such as examinees receiving different forms of a translated test. Measurement invariance in polytomous items has traditionally been evaluated at the item-level,…
Descriptors: Foreign Countries, Psychometrics, Test Bias, Test Items
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de Jong, Martijn G.; Steenkamp, Jan-Benedict E. M. – Psychometrika, 2010
We present a class of finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research. Our model is proposed for confirmatory research settings. Our prior for item parameters is a mixture distribution to accommodate situations where different groups of countries have different measurement operations, while…
Descriptors: Simulation, Measures (Individuals), Psychometrics, Item Response Theory
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Makransky, Guido; Glas, Cees A. W. – Journal of Applied Testing Technology, 2010
An accurately calibrated item bank is essential for a valid computerized adaptive test. However, in some settings, such as occupational testing, there is limited access to test takers for calibration. As a result of the limited access to possible test takers, collecting data to accurately calibrate an item bank in an occupational setting is…
Descriptors: Foreign Countries, Simulation, Adaptive Testing, Computer Assisted Testing
Saleh, Issa M., Ed.; Khine, Myint Swe, Ed. – IAP - Information Age Publishing, Inc., 2011
The research into how students' attitudes affect their learning of science related subjects has been one of the core areas of interest by science educators. The development in science education records various attempts in measuring attitudes and determining the correlations between behavior, achievements, career aspirations, gender identity and…
Descriptors: Foreign Countries, Indigenous Populations, Student Attitudes, Scientific Attitudes
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Robins, Anthony – Computer Science Education, 2010
Compared to other subjects, the typical introductory programming (CS1) course has higher than usual rates of both failing and high grades, creating a characteristic bimodal grade distribution. In this article, I explore two possible explanations. The conventional explanation has been that learners naturally fall into populations of programmers and…
Descriptors: Programming, Learning Processes, Grading, Simulation