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Covaciu, Andra Iustina; Abrahamsson, Marcus; Beck, Albrecht; Rai, Shivani; Sapkota, Niroj; Shapiro, Mark; Szarzynski, Joerg – Education Sciences, 2021
With Rasmussen's abstraction hierarchy as starting point, the present article focuses on understanding some of the aspects guiding the development of a simulation exercise (SimEx) from a multi-faceted perspective, based on interviews and post-exercise evaluations conducted with both exercise designers and participants. The results show that, in…
Descriptors: Risk Assessment, Emergency Programs, Simulation, Exercise
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
Hosek, James; Knapp, David; Mattock, Michael G.; Asch, Beth J. – Educational Researcher, 2023
Retirement incentives are frequently used by school districts facing financial difficulties. They provide a means of either decreasing staff size or replacing retiring senior teachers with less expensive junior teachers. We analyze a one-time retirement incentive in a large school district paid to teachers willing to retire at the end of the…
Descriptors: Incentives, Teacher Retirement, Compensation (Remuneration), Prediction
Sinharay, Sandip – Journal of Educational Measurement, 2023
Technical difficulties and other unforeseen events occasionally lead to incomplete data on educational tests, which necessitates the reporting of imputed scores to some examinees. While there exist several approaches for reporting imputed scores, there is a lack of any guidance on the reporting of the uncertainty of imputed scores. In this paper,…
Descriptors: Evaluation Methods, Scores, Standardized Tests, Simulation
Laura Jane Kelly; Sangeet Khemlani – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Descriptions of durational relations can be ambiguous, for example, the description "one meeting happened during another" could mean that one meeting started before the other ended, or it could mean that the meetings started and ended simultaneously. A recent theory posits that people mentally simulate descriptions of durational events…
Descriptors: Schemata (Cognition), Cognitive Processes, Simulation, Time Perspective
Gaufman, Elizaveta; Abel, Niklas; Andela, Esther; Adema, Carolien; Kok, Imke; Schuitemaker, Marieke; Klok, Meike; Turkstra, Frieso; Bey, Johannes K.; Oltmann, Zoe Perea – Journal of Political Science Education, 2023
Simulations have become a staple of political science education due to their effectiveness and creative nature that contributes to learning success. In this contribution, we argue that simulations can also offer new insights not only into student engagement and active learning, but also into the sociology of political processes. In this case it is…
Descriptors: Elections, Politics, Sociology, Simulation
Beth Chance; Karen McGaughey; Sophia Chung; Alex Goodman; Soma Roy; Nathan Tintle – Journal of Statistics and Data Science Education, 2025
"Simulation-based inference" is often considered a pedagogical strategy for helping students develop inferential reasoning, for example, giving them a visual and concrete reference for deciding whether the observed statistic is unlikely to happen by chance alone when the null hypothesis is true. In this article, we highlight for teachers…
Descriptors: Simulation, Sampling, Randomized Controlled Trials, Hypothesis Testing
Milica Miocevic; Fayette Klaassen; Mariola Moeyaert; Gemma G. M. Geuke – Journal of Experimental Education, 2025
Mediation analysis in Single Case Experimental Designs (SCEDs) evaluates intervention mechanisms for individuals. Despite recent methodological developments, no clear guidelines exist for maximizing power to detect the indirect effect in SCEDs. This study compares frequentist and Bayesian methods, determining (1) minimum required sample size to…
Descriptors: Research Design, Mediation Theory, Statistical Analysis, Simulation
Julia-Kim Walther; Martin Hecht; Steffen Zitzmann – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such as pilot studies or when populations are inherently small, increasing samples sizes is not feasible. As a remedy, we propose a two-stage regularized…
Descriptors: Sample Size, Hierarchical Linear Modeling, Structural Equation Models, Matrices
Sohee Kim; Ki Lynn Cole – International Journal of Testing, 2025
This study conducted a comprehensive comparison of Item Response Theory (IRT) linking methods applied to a bifactor model, examining their performance on both multiple choice (MC) and mixed format tests within the common item nonequivalent group design framework. Four distinct multidimensional IRT linking approaches were explored, consisting of…
Descriptors: Item Response Theory, Comparative Analysis, Models, Item Analysis
Dexin Shi; Bo Zhang; Ren Liu; Zhehan Jiang – Educational and Psychological Measurement, 2024
Multiple imputation (MI) is one of the recommended techniques for handling missing data in ordinal factor analysis models. However, methods for computing MI-based fit indices under ordinal factor analysis models have yet to be developed. In this short note, we introduced the methods of using the standardized root mean squared residual (SRMR) and…
Descriptors: Goodness of Fit, Factor Analysis, Simulation, Accuracy
Adrian Quintero; Emmanuel Lesaffre; Geert Verbeke – Journal of Educational and Behavioral Statistics, 2024
Bayesian methods to infer model dimensionality in factor analysis generally assume a lower triangular structure for the factor loadings matrix. Consequently, the ordering of the outcomes influences the results. Therefore, we propose a method to infer model dimensionality without imposing any prior restriction on the loadings matrix. Our approach…
Descriptors: Bayesian Statistics, Factor Analysis, Factor Structure, Sampling
Ferdinand Valentin Stoye; Claudia Tschammler; Oliver Kuss; Annika Hoyer – Research Synthesis Methods, 2024
The development of new statistical models for the meta-analysis of diagnostic test accuracy studies is still an ongoing field of research, especially with respect to summary receiver operating characteristic (ROC) curves. In the recently published updated version of the "Cochrane Handbook for Systematic Reviews of Diagnostic Test…
Descriptors: Diagnostic Tests, Accuracy, Barriers, Models
Khaldon Abbas; Cody Lo; Jane A. Gardiner – Discover Education, 2024
Ophthalmoscopy is an essential skill for medical trainees, however, trainees commonly report feeling uncomfortable with this skill. The purpose of this study is to determine the utility of a low-cost simulator in improving medical student's comfort and proficiency with direct ophthalmoscopy. An easy to assemble simulator was constructed using…
Descriptors: Foreign Countries, Medical Students, Ophthalmology, Simulation
Suzanne C. Freeman; Alex J. Sutton; Nicola J. Cooper; Alessandro Gasparini; Michael J. Crowther; Neil Hawkins – Research Synthesis Methods, 2024
Background: Traditionally, meta-analysis of time-to-event outcomes reports a single pooled hazard ratio assuming proportional hazards (PH). For health technology assessment evaluations, hazard ratios are frequently extrapolated across a lifetime horizon. However, when treatment effects vary over time, an assumption of PH is not always valid. The…
Descriptors: Cancer, Medical Research, Bayesian Statistics, Meta Analysis