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Akbay, Lokman; Kilinç, Mustafa – International Journal of Assessment Tools in Education, 2018
Measurement models need to properly delineate the real aspect of examinees' response processes for measurement accuracy purposes. To avoid invalid inferences, fit of examinees' response data to the model is studied through "person-fit" statistics. Misfit between the examinee response data and measurement model may be due to invalid…
Descriptors: Reliability, Goodness of Fit, Cognitive Measurement, Models
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Zhan, Peida; Jiao, Hong; Man, Kaiwen; Wang, Lijun – Journal of Educational and Behavioral Statistics, 2019
In this article, we systematically introduce the just another Gibbs sampler (JAGS) software program to fit common Bayesian cognitive diagnosis models (CDMs) including the deterministic inputs, noisy "and" gate model; the deterministic inputs, noisy "or" gate model; the linear logistic model; the reduced reparameterized unified…
Descriptors: Bayesian Statistics, Computer Software, Models, Test Items
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Torre, Jimmy de la; Akbay, Lokman – Eurasian Journal of Educational Research, 2019
Purpose: Well-designed assessment methodologies and various cognitive diagnosis models (CDMs) to extract diagnostic information about examinees' individual strengths and weaknesses have been developed. Due to this novelty, as well as educational specialists' lack of familiarity with CDMs, their applications are not widespread. This article aims at…
Descriptors: Cognitive Measurement, Models, Computer Software, Testing
Yukay Yüksel, Müge; Okur, Sinan; Akbulut, Zehranur; Kütük, Hasan – Online Submission, 2020
The concept of empathy, which consists of both affective and cognitive elements, is defined as replacing the other side and understanding their feelings and thoughts. In this study, it was aimed to adapt the Affective and Cognitive Empathy Scale, which was developed in order to measure empathy concept more comprehensively, in Turkish. In line with…
Descriptors: Foreign Countries, Psychometrics, Measures (Individuals), Affective Measures
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Sünbül, Seçil Ömür – International Journal of Evaluation and Research in Education, 2018
In this study, it was aimed to investigate the impact of different missing data handling methods on DINA model parameter estimation and classification accuracy. In the study, simulated data were used and the data were generated by manipulating the number of items and sample size. In the generated data, two different missing data mechanisms…
Descriptors: Data, Test Items, Sample Size, Statistical Analysis
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Chen, Huilin; Chen, Jinsong – SAGE Open, 2021
Although research on listening skills has been frequently conducted to discover the nature of listening comprehension, there is little study about listening genre competence which is related with knowledge about listening text types. In order to find out whether listening skills and listening genre competence are related, cognitive diagnosis, a…
Descriptors: Listening Skills, Competence, Cognitive Measurement, Listening Comprehension Tests
Shuqi Zhou – ProQuest LLC, 2021
Cognitive diagnostic models can uncover students' mastery of multiple fine-grained skill attributes or problem-solving processes. A number of studies have applied cognitive diagnostic models to detect students' knowledge mastery in mathematics and language testing. However, few studies focus on cognitive diagnostic assessment in K-12 science…
Descriptors: Models, Cognitive Measurement, Science Education, Energy
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Jing Liu; Megan Kuhfeld; Monica Lee; Danett Song – Society for Research on Educational Effectiveness, 2021
Background: Noncognitive skills are a critical component of human capital and are highly consequential for student life outcomes (Heckman et al., 2006; Cunha et al., 2010). While there is a great deal of debates around what noncognitive skills are, their measurement, and their interpretation (Duckworth & Yeager, 2015; Humphries & Kosse,…
Descriptors: Human Capital, Predictive Validity, Skill Development, Educational Policy
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Parong, Jocelyn; Mayer, Richard E. – Applied Cognitive Psychology, 2020
Summary The goal of the present study was to examine the effects of playing an immersive virtual reality game that included a collection of gamified cognitive tasks, "Cerevrum," on specific components of cognition, including perceptual attention, mental rotation, working memory, visualization, visual field of view, and visual processing…
Descriptors: Cognitive Processes, Cognitive Development, Educational Games, Training
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Annetta, Leonard; Lamb, Richard; Bressler, Denise M.; Vallett, David B. – International Journal of Game-Based Learning, 2020
The purpose of this study was to identify the underlying cognitive attributes used during the design and development of science-based serious educational games. Study methods rely on a modification of cognitive diagnostics, item response theory, and Bayesian estimation with traditional statistical techniques such as factor analysis and model fit…
Descriptors: Educational Games, Cognitive Processes, Artificial Intelligence, 21st Century Skills
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Hetzroni, Orit; Agada, Hila; Leikin, Mark – Journal of Autism and Developmental Disorders, 2019
This study investigated creative thinking abilities among two groups of 20 children with autism spectrum disorders (ASD) compared to 20 children with typical development ages 9-11. The study compared performance on two different creativity tests: general creativity (Pictorial Multiple Solutions-PMS) test versus mathematical creativity (Creating…
Descriptors: Creativity, Autism, Pervasive Developmental Disorders, Children
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Farmer, Ryan L.; McGill, Ryan J.; Dombrowski, Stefan C.; Canivez, Gary L. – Canadian Journal of School Psychology, 2021
Surveys reveal that many school psychologists continue to employ cognitive profile analysis despite the long-standing history of negative research results from this class of practice. This begets the question: why do questionable assessment practices persist in school psychology? To provide insight on this dilemma, this article presents the…
Descriptors: School Psychology, School Psychologists, Cognitive Tests, Cognitive Measurement
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Wu, Xiaopeng; Wu, Rongxiu; Zhang, Yi; Arthur, David; Chang, Hua-Hua – Assessment in Education: Principles, Policy & Practice, 2021
Learning path and learning progression have received extensive attention from broad disciplines. The existing research In the field of learning path is rarely applied in curriculum learning and teaching. Learning progression is usually constructed through observations, interviews but not quantitative analyses. With 726 Grade 8 students'…
Descriptors: Cognitive Measurement, Mathematics Skills, Learning Processes, Sequential Approach
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Philipp, Michel; Strobl, Carolin; de la Torre, Jimmy; Zeileis, Achim – Journal of Educational and Behavioral Statistics, 2018
Cognitive diagnosis models (CDMs) are an increasingly popular method to assess mastery or nonmastery of a set of fine-grained abilities in educational or psychological assessments. Several inference techniques are available to quantify the uncertainty of model parameter estimates, to compare different versions of CDMs, or to check model…
Descriptors: Computation, Error of Measurement, Models, Cognitive Measurement
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Strand, Julia F.; Brown, Violet A.; Merchant, Madeleine B.; Brown, Hunter E.; Smith, Julia – Journal of Speech, Language, and Hearing Research, 2018
Purpose: Listening effort (LE) describes the attentional or cognitive requirements for successful listening. Despite substantial theoretical and clinical interest in LE, inconsistent operationalization makes it difficult to make generalizations across studies. The aims of this large-scale validation study were to evaluate the convergent validity…
Descriptors: Young Adults, Correlation, Hearing (Physiology), Cognitive Ability
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