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Wang, Shiyu; Yang, Yan; Culpepper, Steven Andrew; Douglas, Jeffrey A. – Journal of Educational and Behavioral Statistics, 2018
A family of learning models that integrates a cognitive diagnostic model and a higher-order, hidden Markov model in one framework is proposed. This new framework includes covariates to model skill transition in the learning environment. A Bayesian formulation is adopted to estimate parameters from a learning model. The developed methods are…
Descriptors: Skill Development, Cognitive Measurement, Cognitive Processes, Markov Processes
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Carpenter, Alexis C.; Schacter, Daniel L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Episodic memory involves flexible retrieval processes that allow us to link together distinct episodes, make novel inferences across overlapping events, and recombine elements of past experiences when imagining future events. However, the same flexible retrieval and recombination processes that underpin these adaptive functions may also leave…
Descriptors: Memory, Recall (Psychology), Inferences, Accuracy
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Hsu, Chia-Ling; Wang, Wen-Chung – Journal of Educational Measurement, 2015
Cognitive diagnosis models provide profile information about a set of latent binary attributes, whereas item response models yield a summary report on a latent continuous trait. To utilize the advantages of both models, higher order cognitive diagnosis models were developed in which information about both latent binary attributes and latent…
Descriptors: Computer Assisted Testing, Adaptive Testing, Models, Cognitive Measurement
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Li, Xiaomin; Wang, Wen-Chung – Journal of Educational Measurement, 2015
The assessment of differential item functioning (DIF) is routinely conducted to ensure test fairness and validity. Although many DIF assessment methods have been developed in the context of classical test theory and item response theory, they are not applicable for cognitive diagnosis models (CDMs), as the underlying latent attributes of CDMs are…
Descriptors: Test Bias, Models, Cognitive Measurement, Evaluation Methods
Brookhart, Susan M., Ed.; McMillan, James H., Ed. – Routledge, Taylor & Francis Group, 2019
"Classroom Assessment and Educational Measurement" explores the ways in which the theory and practice of both educational measurement and the assessment of student learning in classroom settings mutually inform one another. Chapters by assessment and measurement experts consider the nature of classroom assessment information, from…
Descriptors: Educational Assessment, Student Evaluation, Theory Practice Relationship, Academic Achievement
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Lancaster, Alexander L. – International Journal for the Scholarship of Teaching and Learning, 2018
Based on Finn and Ledbetter's (2013; 2014) work regarding classroom technology policies, this experimental study examined the implementation of a permissive and a restrictive cellular phone policy and the effect of these policies on students' cognitive and affective learning in two sections of a public speaking course. College students (N = 31)…
Descriptors: College Students, Handheld Devices, Telecommunications, Educational Policy
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Kim, Albert E.; Oines, Leif; Miyake, Akira – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
This study investigated the processes reflected in the widely observed N400 and P600 event-related potential (ERP) effects and tested the hypothesis that the N400 and P600 effects are functionally linked in a tradeoff relationship, constrained in part by individual differences in cognitive ability. Sixty participants read sentences, and ERP…
Descriptors: Individual Differences, Short Term Memory, Cognitive Measurement, Semantics
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Eid, Michael; Koch, Tobias – Measurement: Interdisciplinary Research and Perspectives, 2014
Higher-order factor analysis is a widely used approach for analyzing the structure of a multidimensional test. Whenever first-order factors are correlated researchers are tempted to apply a higher-order factor model. But is this reasonable? What do the higher-order factors measure? What is their meaning? Willoughby, Holochwost, Blanton, and Blair…
Descriptors: Factor Analysis, Measurement, Theories, Executive Function
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Whitaker, Simon – International Journal of Developmental Disabilities, 2018
The European Union has seen an increased number of asylum seekers and economic migrants over the past few years. There will be request to assess some of these individuals to see if they have an intellectual disability (ID). If this is to be done using the current internationally recognized definitions of ID, we will need to be confident that the…
Descriptors: Foreign Countries, Cognitive Measurement, Cognitive Ability, Intellectual Disability
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Engelhard, George, Jr.; Wang, Jue – Measurement: Interdisciplinary Research and Perspectives, 2014
The authors of the Focus article pose important questions regarding whether or not performance-based tasks related to executive functioning are best viewed as reflective or formative indicators. Miyake and Friedman (2012) define executive functioning (EF) as "a set of general-purpose control mechanisms, often linked to the prefrontal cortex…
Descriptors: Executive Function, Cognitive Measurement, Structural Equation Models, Item Response Theory
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Clarke, Ben; Shanley, Lina; Kosty, Derek; Baker, Scott K.; Cary, Mari Strand; Fien, Hank; Smolkowski, Keith – School Psychology Quarterly, 2018
The purpose of this study was to investigate the incremental validity of a set of domain general cognitive measures added to a traditional screening battery of early numeracy measures. The sample consisted of 458 kindergarten students of whom 285 were designated as severely at-risk for mathematics difficulty. Hierarchical multiple regression…
Descriptors: Mathematics Instruction, Screening Tests, At Risk Students, Cognitive Measurement
Clarke, Ben; Shanley, Lina; Kosty, Derek; Baker, Scott K.; Cary, Mari Strand; Fien, Hank; Smolkowski, Keith – Grantee Submission, 2018
The purpose of this study was to investigate the incremental validity of a set of domain general cognitive measures added to a traditional screening battery of early numeracy measures. The sample consisted of 458 kindergarten students of whom 285 were designated as severely at-risk for mathematics difficulty. Hierarchical multiple regression…
Descriptors: Mathematics Instruction, Screening Tests, At Risk Students, Cognitive Measurement
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Veerbeek, Jochanan; Verhaegh, Janneke; Elliott, Julian G.; Resing, Wilma C. M. – Journal of Education and Learning, 2017
This study evaluated a new measure for analyzing the process of children's problem solving in a series completion task. This measure focused on a process that we entitled the "Grouping of Answer Pieces" (GAP) that was employed to provide information on problem representation and restructuring. The task was conducted using an electronic…
Descriptors: Problem Solving, Elementary School Students, Grade 2, Cognitive Processes
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Burdon, Paul; Dipper, Lucy; Cocks, Naomi – International Journal of Language & Communication Disorders, 2016
Background: Social perception is an important skill. One assessment that is commonly used to assess social perception abilities is The Awareness of Social Inference Test (TASIT). The only normative data available for this test are for Australian younger adults. Despite no normative data being available for British adults, the test is widely used…
Descriptors: Foreign Countries, Older Adults, Young Adults, Cognitive Tests
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Epstein, Baila; Shafer, Valerie L.; Melara, Robert D.; Schwartz, Richard G. – Journal of Speech, Language, and Hearing Research, 2014
Purpose: This study examined whether children with specific language impairment (SLI) are deficient in detecting cognitive conflict between competing response tendencies in a GO/No-GO task. Method: Twelve children with SLI (ages 10--12), 22 children with typical language development matched group-wise on age (TLD-A), and 16 younger children with…
Descriptors: Children, Language Impairments, Psychological Patterns, Cognitive Measurement
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