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Martins, Ana P. G.; Köbrich, Moritz V.; Carstengerdes, Nils; Biella, Marcus – Applied Cognitive Psychology, 2023
The objective of the present study was to examine if the Outcome Bias also occurs in pilots flying under instrument flight rules (IFR). In a scenario-based survey, 60 pilots evaluated weather-related decisions made by hypothetical pilots. Participants rated the decisions as better, less risky, and regarded the probability that they would have made…
Descriptors: Bias, Air Transportation, Flight Training, Simulation
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
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
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
Ziren Jiang; Joseph C. Cappelleri; Margaret Gamalo; Yong Chen; Neal Thomas; Haitao Chu – Research Synthesis Methods, 2024
Population-adjusted indirect comparison (PAIC) is an increasingly used technique for estimating the comparative effectiveness of different treatments for the health technology assessments when head-to-head trials are unavailable. Three commonly used PAIC methods include matching-adjusted indirect comparison (MAIC), simulated treatment comparison…
Descriptors: Comparative Analysis, Decision Making, Health Services, Computer Oriented Programs
Pongchanun Luangpaiboon; Chiramet Phinkrathok; Walailak Atthirawong; Pasura Aungkulanon – SAGE Open, 2024
The education faculty aims to assess departmental effectiveness by analyzing the relationship between service levels, output variables, and input variables. This objective is coupled with the formulation of faculty development strategies tailored to enhance efficiency while accommodating individual professionals' unique requirements and…
Descriptors: Decision Making, College Faculty, Simulation, Efficiency
Gianni R. Lorello; Kathryn Hodwitz; S. Barry Issenberg; Ryan Brydges – Advances in Health Sciences Education, 2024
When uncertain, medical trainees often seek to co-regulate their learning with supervisors and peers. Evidence suggests they may enact self-regulated learning (SRL) strategies differently when engaged in self- versus co-regulated learning (Co-RL). We compared the impacts of SRL and Co-RL on trainees' acquisition, retention, and preparation for…
Descriptors: Self Management, Medical Students, Medical Education, Heart Disorders
Shunji Wang; Katerina M. Marcoulides; Jiashan Tang; Ke-Hai Yuan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a purpose. However, the conventional NHT meets challenges when the domain loadings are weak or the sample size is insufficient. This article proposes…
Descriptors: Hypothesis Testing, Error of Measurement, Comparative Analysis, Monte Carlo Methods
Shijie Ren; Sa Ren; Nicky J. Welton; Mark Strong – Research Synthesis Methods, 2024
Population-adjusted indirect comparisons, developed in the 2010s, enable comparisons between two treatments in different studies by balancing patient characteristics in the case where individual patient-level data (IPD) are available for only one study. Health technology assessment (HTA) bodies increasingly rely on these methods to inform funding…
Descriptors: Medical Research, Outcomes of Treatment, Standards, Safety
Meyen, Sascha; Sigg, Dorothee M. B.; von Luxburg, Ulrike; Franz, Volker H. – Cognitive Research: Principles and Implications, 2021
Background: It has repeatedly been reported that, when making decisions under uncertainty, groups outperform individuals. Real groups are often replaced by simulated groups: Instead of performing an actual group discussion, individual responses are aggregated by a numerical computation. While studies have typically used unweighted majority voting…
Descriptors: Group Discussion, Decision Making, Voting, Simulation
Yan Xiong; Guo Xinya; Junjie Xu – Education and Information Technologies, 2024
Learning engagement is an essential indication to define students' learning pacification in the class, and its automated identification technique is the foundation for exploring how to effectively explain the motive of learning impact modifications and making intelligent teaching choices. Current research have demonstrated that there is a direct…
Descriptors: Learner Engagement, Learning Processes, Automation, Artificial Intelligence
Liang, Xinya; Cao, Chunhua – Journal of Experimental Education, 2023
To evaluate multidimensional factor structure, a popular method that combines features of confirmatory and exploratory factor analysis is Bayesian structural equation modeling with small-variance normal priors (BSEM-N). This simulation study evaluated BSEM-N as a variable selection and parameter estimation tool in factor analysis with sparse…
Descriptors: Factor Analysis, Bayesian Statistics, Structural Equation Models, Simulation
Abigale Plunk; Amy S. Weitlauf; Zachary Warren; Daniel Levin; Nilanjan Sarkar – Journal of Autism and Developmental Disorders, 2025
This study explores the intersection of Theory of Mind (ToM) abilities and driving performance among novice drivers, with a focus on autistic individuals. The purpose is to investigate how ToM deficits may impact driving behaviors and decision-making, ultimately informing the development of tailored interventions and training programs for autistic…
Descriptors: Theory of Mind, Motor Vehicles, Novices, Autism Spectrum Disorders
Szergej Capec; Gabriella Capec; Zuzana Mateasikova; Hana Rancova; Jana Petrkova; Jaromir Vachutka; Martin Petrek – Advances in Physiology Education, 2025
A good knowledge of the theoretical foundations of medicine helps students and physicians to better recognize and treat patients with complex medical conditions, including sepsis and septic shock. The article describes the authors' experience in implementing the analysis of sepsis and septic shock using a high-fidelity simulated clinical scenario…
Descriptors: Teaching Methods, Pathology, Physiology, Diseases
Ilja Cornelisz; Chris van Klaveren – npj Science of Learning, 2022
Longitudinal randomized controlled trials generally assign individuals randomly to interventions at baseline and then evaluate how differential average treatment effects evolve over time. This study shows that longitudinal settings could benefit from "Recurrent Individual Treatment Assignment" ("RITA") instead, particularly in…
Descriptors: Longitudinal Studies, Randomized Controlled Trials, Intervention, Assignments