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Junhuan Wei; Qin Wang; Buyun Dai; Yan Cai; Dongbo Tu – Journal of Educational Measurement, 2024
Traditional IRT and IRTree models are not appropriate for analyzing the item that simultaneously consists of multiple-choice (MC) task and constructed-response (CR) task in one item. To address this issue, this study proposed an item response tree model (called as IRTree-MR) to accommodate items that contain different response types at different…
Descriptors: Item Response Theory, Models, Multiple Choice Tests, Cognitive Processes
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Ranger, Jochen; Kuhn, Jörg-Tobias; Wolgast, Anett – Journal of Educational Measurement, 2021
Van der Linden's hierarchical model for responses and response times can be used in order to infer the ability and mental speed of test takers from their responses and response times in an educational test. A standard approach for this is maximum likelihood estimation. In real-world applications, the data of some test takers might be partly…
Descriptors: Models, Reaction Time, Item Response Theory, Tests
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Herborn, Katharina; Mustafic, Maida; Greiff, Samuel – Journal of Educational Measurement, 2017
Collaborative problem solving (CPS) assessment is a new academic research field with a number of educational implications. In 2015, the Programme for International Student Assessment (PISA) assessed CPS with a computer-simulated human-agent (H-A) approach that claimed to measure 12 individual CPS skills for the first time. After reviewing the…
Descriptors: Cooperative Learning, Problem Solving, Computer Simulation, Evaluation Methods
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de la Torre, Jimmy; Lee, Young-Sun – Journal of Educational Measurement, 2010
Cognitive diagnosis models (CDMs), as alternative approaches to unidimensional item response models, have received increasing attention in recent years. CDMs are developed for the purpose of identifying the mastery or nonmastery of multiple fine-grained attributes or skills required for solving problems in a domain. For CDMs to receive wider use,…
Descriptors: Ability Grouping, Item Response Theory, Models, Problem Solving
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Whitely, Susan E. – Journal of Educational Measurement, 1981
Cognitive component research on aptitudes has shown that performance on test items depends on a series of processing events. Each processing component potentially defines a separate construct that contributes to item and subject differences in performance. This article presents the multicomponent latent trait model for measuring these component…
Descriptors: Academic Aptitude, Aptitude Tests, Cognitive Processes, Individual Differences
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Embretson, Susan; And Others – Journal of Educational Measurement, 1986
This study examined the influence of processing strategies, and the metacomponents that determine when to apply them, on the construct validity of a verbal reasoning test. A rule-oriented strategy, an association strategy, and a partial rule strategy were examined. All three strategies contributed to individual differences in verbal reasoning.…
Descriptors: Cognitive Processes, Elementary Secondary Education, Error of Measurement, Latent Trait Theory
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Lane, Suzanne – Journal of Educational Measurement, 1991
The use of restricted item response models to test hypotheses regarding item difficulty ordering and slope uniformity was demonstrated in a study in which 597 algebra students were asked to solve word problems reflecting various types of cognitive processing. Benefits and limitations of the procedures are discussed. (SLD)
Descriptors: Algebra, Cognitive Ability, Cognitive Processes, Cognitive Tests
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Sheehan, Kathleen; Mislevy, Robert J. – Journal of Educational Measurement, 1990
The 63 items on skills in acquiring and using information from written documents contained in the Survey of Young Adult Literacy in the 1985 National Assessment of Educational Progress are analyzed. The analyses are based on a qualitative cognitive model and an item-response theory model. (TJH)
Descriptors: Adult Literacy, Cognitive Processes, Diagnostic Tests, Elementary Secondary Education