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Kim, Rae Yeong; Yoo, Yun Joo – Journal of Educational Measurement, 2023
In cognitive diagnostic models (CDMs), a set of fine-grained attributes is required to characterize complex problem solving and provide detailed diagnostic information about an examinee. However, it is challenging to ensure reliable estimation and control computational complexity when The test aims to identify the examinee's attribute profile in a…
Descriptors: Models, Diagnostic Tests, Adaptive Testing, Accuracy
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He, Yinhong; Qi, Yuanyuan – Journal of Educational Measurement, 2023
In multidimensional computerized adaptive testing (MCAT), item selection strategies are generally constructed based on responses, and they do not consider the response times required by items. This study constructed two new criteria (referred to as DT-inc and DT) for MCAT item selection by utilizing information from response times. The new designs…
Descriptors: Reaction Time, Adaptive Testing, Computer Assisted Testing, Test Items
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Cui, Zhongmin – Measurement: Interdisciplinary Research and Perspectives, 2022
Although many educational and psychological tests are labeled as computerized adaptive test (CAT), not all tests show the same level of adaptivity -- some tests might not have much adaptation because of various constraints imposed by test developers. Researchers have proposed some indices to measure the amount of adaption for an adaptive test.…
Descriptors: Adaptive Testing, Computer Assisted Testing, Measurement Techniques
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Cheng, Yiling – Measurement: Interdisciplinary Research and Perspectives, 2023
Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall,…
Descriptors: Computer Software, Computer Assisted Testing, Adaptive Testing, Item Response Theory
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Jörg D. Jescheniak; Stefan Wöhner; Herbert Schriefers – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Adaptive models of word production hold that lexical processing is shaped by recent production episodes. In particular, the models proposed by Howard et al. (2006) and Oppenheim et al. (2010) assume that the connection strength between semantic and lexical representations is updated continuously, on each use of a word. These changes make…
Descriptors: Foreign Countries, College Students, Word Recognition, Interference (Learning)
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Gökhan Iskifoglu – Turkish Online Journal of Educational Technology - TOJET, 2024
This research paper investigated the importance of conducting measurement invariance analysis in developing measurement tools for assessing differences between and among study variables. Most of the studies, which tended to develop an inventory to assess the existence of an attitude, behavior, belief, IQ, or an intuition in a person's…
Descriptors: Testing, Testing Problems, Error of Measurement, Attitude Measures
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Pan, Yiqin; Livne, Oren; Wollack, James A.; Sinharay, Sandip – Educational Measurement: Issues and Practice, 2023
In computerized adaptive testing, overexposure of items in the bank is a serious problem and might result in item compromise. We develop an item selection algorithm that utilizes the entire bank well and reduces the overexposure of items. The algorithm is based on collaborative filtering and selects an item in two stages. In the first stage, a set…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
Chris Jellis – Research Matters, 2024
The Centre for Evaluation and Monitoring (CEM), based in the North of England, recently celebrated its 40th birthday. Arising from an evaluation project at Newcastle University, and a subsequent move to Durham University, it rapidly grew in scope and influence, developing a series of highly regarded school assessments. For a relatively small…
Descriptors: Educational Assessment, Foreign Countries, Computer Assisted Testing, Adaptive Testing
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Shangchao Min; Kyoungwon Bishop – Language Testing, 2024
This paper evaluates the multistage adaptive test (MST) design of a large-scale academic language assessment (ACCESS) for Grades 1-12, with an aim to simplify the current MST design, using both operational and simulated test data. Study 1 explored the operational population data (1,456,287 test-takers) of the listening and reading tests of MST…
Descriptors: Adaptive Testing, Test Construction, Language Tests, English Language Learners
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Hwanggyu Lim; Kyung T. Han – Educational Measurement: Issues and Practice, 2024
Computerized adaptive testing (CAT) has gained deserved popularity in the administration of educational and professional assessments, but continues to face test security challenges. To ensure sustained quality assurance and testing integrity, it is imperative to establish and maintain multiple stable item pools that are consistent in terms of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
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Jyun-Hong Chen; Hsiu-Yi Chao – Journal of Educational and Behavioral Statistics, 2024
To solve the attenuation paradox in computerized adaptive testing (CAT), this study proposes an item selection method, the integer programming approach based on real-time test data (IPRD), to improve test efficiency. The IPRD method turns information regarding the ability distribution of the population from real-time test data into feasible test…
Descriptors: Data Use, Computer Assisted Testing, Adaptive Testing, Design
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Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Reading Psychology, 2024
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
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Lim, Hwanggyu; Davey, Tim; Wells, Craig S. – Journal of Educational Measurement, 2021
This study proposed a recursion-based analytical approach to assess measurement precision of ability estimation and classification accuracy in multistage adaptive tests (MSTs). A simulation study was conducted to compare the proposed recursion-based analytical method with an analytical method proposed by Park, Kim, Chung, and Dodd and with the…
Descriptors: Adaptive Testing, Measurement, Accuracy, Classification
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Seung Won Park; Moon-Heum Cho; Seongmi Lim; Seokwon Hwang – European Journal of Psychology of Education, 2024
Although one of the challenges in college remedial mathematics courses involves dealing with negative emotions adversely impacting student achievement, little empirical research has been conducted to examine the factors contributing to the formation of such emotions in these settings. The purpose of this study was to examine whether background…
Descriptors: Public Colleges, Mathematics Education, Remedial Mathematics, Negative Attitudes
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Ebru Dogruöz; Hülya Kelecioglu – International Journal of Assessment Tools in Education, 2024
In this research, multistage adaptive tests (MST) were compared according to sample size, panel pattern and module length for top-down and bottom-up test assembly methods. Within the scope of the research, data from PISA 2015 were used and simulation studies were conducted according to the parameters estimated from these data. Analysis results for…
Descriptors: Adaptive Testing, Test Construction, Foreign Countries, Achievement Tests
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