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Thompson, W. Jake; Nash, Brooke; Clark, Amy K.; Hoover, Jeffrey C. – Journal of Educational Measurement, 2023
As diagnostic classification models become more widely used in large-scale operational assessments, we must give consideration to the methods for estimating and reporting reliability. Researchers must explore alternatives to traditional reliability methods that are consistent with the design, scoring, and reporting levels of diagnostic assessment…
Descriptors: Diagnostic Tests, Simulation, Test Reliability, Accuracy
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Sperandei, Sandro; Bastos, Leonardo Soares; Ribeiro-Alves, Marcelo; Reis, Arianne; Bastos, Francisco Inácio – International Journal of Social Research Methodology, 2023
The aim of this study is to investigate the impact of different logistic regression estimators applied to RDS studies via simulation and the analysis of empirical data. Four simulated populations were created with different connectivity characteristics. Each simulated individual received two attributes, one of them associated to the infection…
Descriptors: Regression (Statistics), Recruitment, Sampling, Simulation
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Shu, Di; Li, Xiaojuan; Her, Qoua; Wong, Jenna; Li, Dongdong; Wang, Rui; Toh, Sengwee – Research Synthesis Methods, 2023
Missing data complicates statistical analyses in multi-site studies, especially when it is not feasible to centrally pool individual-level data across sites. We combined meta-analysis with within-site multiple imputation for one-step estimation of the average causal effect (ACE) of a target population comprised of all individuals from all…
Descriptors: Meta Analysis, Outcomes of Treatment, Privacy, Attribution Theory
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Li, Shan; Zheng, Juan; Lajoie, Susanne P. – Interactive Learning Environments, 2023
In this paper, we adopted an information-processing perspective to examine the relationship between cognitive engagement and students' performance in a simulation-based training environment. In particular, we examined what forms of cognitive engagement students used while diagnosing virtual patients and whether engagement forms predicted students'…
Descriptors: Medical Students, Cognitive Processes, Learner Engagement, Academic Achievement
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Stengelin, Roman; Haun, Daniel B. M.; Kanngiesser, Patricia – Child Development, 2023
Interactions with peers are fundamental to socio-cognitive development, but assessing peer interactions in standardized experiments is challenging. Therefore, researchers commonly utilize puppetry to simulate peers. This Registered Report investigated urban German children's (Age[subscript Range] = 3.5-4.5 years; N = 144; 76[male gender symbol])…
Descriptors: Peer Relationship, Simulation, Puppetry, Preschool Children
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Zong, Zheng; Schunn, Christian D. – International Journal of Computer-Supported Collaborative Learning, 2023
Online peer feedback has proven to be practically useful for instructors and to be useful for learning, especially for the feedback provider. Because students can vary widely in skill level, some research has explored matching reviewer and author by performance level. However, past research on the impacts of reviewer matching has found little…
Descriptors: Computer Mediated Communication, Feedback (Response), Peer Evaluation, Biology
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Cumber, Peter – International Journal of Mathematical Education in Science and Technology, 2023
The dynamics of a simple pendulum are often presented to undergraduate engineering students in introductory courses in dynamics. It is usually the first dynamic system considered by students that is modelled by a differential equation. This paper presents the standard material given to students. It is fair to say that students are accepting this…
Descriptors: Motion, Scientific Concepts, Undergraduate Students, Engineering Education
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Yamaguchi, Kazuhiro; Zhang, Jihong – Journal of Educational Measurement, 2023
This study proposed Gibbs sampling algorithms for variable selection in a latent regression model under a unidimensional two-parameter logistic item response theory model. Three types of shrinkage priors were employed to obtain shrinkage estimates: double-exponential (i.e., Laplace), horseshoe, and horseshoe+ priors. These shrinkage priors were…
Descriptors: Algorithms, Simulation, Mathematics Achievement, Bayesian Statistics
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Jansen, Katrin; Holling, Heinz – Research Synthesis Methods, 2023
In meta-analyses of rare events, it can be challenging to obtain a reliable estimate of the pooled effect, in particular when the meta-analysis is based on a small number of studies. Recent simulation studies have shown that the beta-binomial model is a promising candidate in this situation, but have thus far only investigated its performance in a…
Descriptors: Bayesian Statistics, Meta Analysis, Probability, Simulation
Reents, Lizabeth – ProQuest LLC, 2023
Simulation has been considered a valid pedagogy for health professionals in education and actual practice. Its proper execution is vital for proper assimilation of knowledge, skills, and attitudes within the pre-licensure students throughout their curricular journey. High fidelity and multi-patient simulation scenarios were employed for beginner…
Descriptors: Simulation, Nursing Education, Clinical Diagnosis, Clinical Experience
Yunxiao Chen; Chengcheng Li; Jing Ouyang; Gongjun Xu – Grantee Submission, 2023
We consider the statistical inference for noisy incomplete binary (or 1-bit) matrix. Despite the importance of uncertainty quantification to matrix completion, most of the categorical matrix completion literature focuses on point estimation and prediction. This paper moves one step further toward the statistical inference for binary matrix…
Descriptors: Statistical Inference, Matrices, Voting, Federal Government
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Swan, Garrett; Xu, Jing; Baliutaviciute, Vilte; Bowers, Alex – Cognitive Research: Principles and Implications, 2022
Individuals with homonymous visual field loss (HVFL) fail to perceive visual information that falls within the blind portions of their visual field. This places additional burden on memory to represent information in their blind visual field, which may make visual changes in the scene more difficult to detect. Failing to detect changes could have…
Descriptors: Visual Impairments, Simulation, Visual Perception, Change
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Gorney, Kylie; Wollack, James A. – Journal of Educational Measurement, 2022
Detection methods for item preknowledge are often evaluated in simulation studies where models are used to generate the data. To ensure the reliability of such methods, it is crucial that these models are able to accurately represent situations that are encountered in practice. The purpose of this article is to provide a critical analysis of…
Descriptors: Prior Learning, Simulation, Models, Reaction Time
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Tomomi Kubota – Educational Studies in Japan: International Yearbook, 2025
Schools face a range of complex and diverse challenges that are difficult for teachers to address on their own. In response, since 2015, there has been growing demand to promote the concept of the "school as a team,"whereby teachers and other professionals actively collaborate to support students. However, concrete strategies for…
Descriptors: Interprofessional Relationship, Decision Making, School Personnel, Visualization
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Rongjuan Zhu; Xiaoliang Ma; Ziyu Wang; Qi Hui; Xuqun You – Cognitive Research: Principles and Implications, 2025
Auditory alarm deafness is a failure to notice a salient auditory signal in a high-load context, which is one of the major causes of flight accidents. Therefore, it is of great practical significance for aviation safety to explore ways to avoid auditory alarm deafness under a high-load scenario. One potential reason for its occurrence could be the…
Descriptors: Short Term Memory, Sensory Experience, Decision Making, Aviation Education
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