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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
Jinying Ouyang; Zhehan Jiang; Christine DiStefano; Junhao Pan; Yuting Han; Lingling Xu; Dexin Shi; Fen Cai – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Precisely estimating factor scores is challenging, especially when models are mis-specified. Stemming from network analysis, centrality measures offer an alternative approach to estimating the scores. Using a two-fold simulation design with varying availability of a priori theoretical knowledge, this study implemented hybrid centrality to estimate…
Descriptors: Structural Equation Models, Computation, Network Analysis, Scores
Richard Churches; Kate Wastie; Max Jones; Nina Dhillon – Education Development Trust, 2024
This report provides advice to policymakers and school leaders on the use of assessment centres as part of a teacher selection approach. It discusses the relationship between assessment centre scores prior to joining teaching, and teacher effectiveness over a six-year period. It draws from various stages of a wider research project, the overall…
Descriptors: Beginning Teachers, Classroom Techniques, Prediction, Teacher Selection
Chia-Lin Tsai; Stefanie Wind; Samantha Estrada – Measurement: Interdisciplinary Research and Perspectives, 2025
Researchers who work with ordinal rating scales sometimes encounter situations where the scale categories do not function in the intended or expected way. For example, participants' use of scale categories may result in an empirical difficulty ordering for the categories that does not match what was intended. Likewise, the level of distinction…
Descriptors: Rating Scales, Item Response Theory, Psychometrics, Self Efficacy
André Beauducel; Norbert Hilger; Tobias Kuhl – Educational and Psychological Measurement, 2024
Regression factor score predictors have the maximum factor score determinacy, that is, the maximum correlation with the corresponding factor, but they do not have the same inter-correlations as the factors. As it might be useful to compute factor score predictors that have the same inter-correlations as the factors, correlation-preserving factor…
Descriptors: Scores, Factor Analysis, Correlation, Predictor Variables
Ford, Deana J.; Luke, Sara E.; Vaughn, S. Michelle; Fulchini-Scruggs, Angelica – Journal of Educational Technology Systems, 2023
The purpose of this study was to investigate the impact explicit teaching of metacognition had on preservice teachers' metacognitive awareness and accuracy of whole group discussions using virtual simulations. One class of preservice teachers was randomly assigned to the explicit metacognitive teaching group, while the other class was assigned to…
Descriptors: Computer Simulation, Metacognition, Accuracy, Preservice Teachers
Sijia Huang; Seungwon Chung; Carl F. Falk – Journal of Educational Measurement, 2024
In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…
Descriptors: Response Style (Tests), Classification, Data, Models
Donnchadh O'Sullivan; Tomas Leng; Christopher Bosley; Amelia Barwise; Raymond Stetson; Yue Dong; Stephanie Mavis; Venkatesh Bellamkonda; Christopher Colby; Brian Pickering – Discover Education, 2024
Purpose: 360° immersive videos may be useful in procedure-based healthcare settings. We hypothesized that extended reality (XR) neonatal intubation education is a feasible alternative to live demonstration in skill and knowledge transfer. Methods: This was a prospective single center evaluation of an educational XR intubation video using Premature…
Descriptors: Video Technology, Computer Simulation, Health Services, Neonates
Regina Kaplan-Rakowski; Deborah Cockerham; Richard E. Ferdig – British Journal of Educational Technology, 2024
Multisensory-rich VR experiences, which encompass visual, auditory, and haptic stimuli, have the potential to enhance engagement, motivation, and learning. However, extensive sensory stimuli could also compromise learning through sensory overload. In museum settings, visitors who are inundated with excessive stimuli such as unrelated background…
Descriptors: Multisensory Learning, Computer Simulation, Handheld Devices, Learner Engagement
Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
Demir, Suleyman – International Journal of Assessment Tools in Education, 2022
This study aims to compare normality tests in different sample sizes in data with normal distribution under different kurtosis and skewness coefficients obtained simulatively. To this end, firstly, simulative data were produced using the MATLAB program for different skewness/kurtosis coefficients and different sample sizes. The normality analysis…
Descriptors: Sample Size, Comparative Analysis, Computer Software, Evaluation Methods
Christine Brockway – ProQuest LLC, 2024
The purpose of this mixed methods study was to determine how communication evaluation by clinical faculty compared in a clinical setting versus a simulation setting for Bachelor of Science in Nursing (BSN) students. Fifty (50) BSN students from three different schools of nursing were scored using the Interprofessional Situation, Background,…
Descriptors: Undergraduate Students, Nursing Students, Nursing Education, Bachelors Degrees
Chan, Wendy – American Journal of Evaluation, 2022
Over the past ten years, propensity score methods have made an important contribution to improving generalizations from studies that do not select samples randomly from a population of inference. However, these methods require assumptions and recent work has considered the role of bounding approaches that provide a range of treatment impact…
Descriptors: Probability, Scores, Scoring, Generalization
Brittney Heibel; Ryan Anderson; Marshall Swafford; Bradley Borges – Journal of Agricultural Education, 2024
Incorporating virtual reality (VR) technology into training environments has been effective as it allows training to remain safe, efficient, and meaningful. Welding training is no exception, with research highlighting benefits such as decreased welder anxiety, increased cost- and time-efficiency, reduction in material usage, and advanced levels of…
Descriptors: Computer Simulation, Computer Uses in Education, Computer Assisted Instruction, Welding
Kaitlin R. Sibbald; Diane E. MacKenzie – Journal of Occupational Therapy Education, 2025
Simulation with simulated patients is increasingly used in occupational therapy. Ensuring the debrief component meets student needs to develop their self-assessment skills for participating in a self-regulating profession is essential. This explanatory mixed-methods research sought to explore factors contributing to accurate and inaccurate…
Descriptors: Simulation, Occupational Therapy, Self Evaluation (Individuals), Performance