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Schmeller, Rebecca; Stoll, Robert; Lifer, J. David – Journal of Education for Business, 2022
Purpose: Study fits JEBS category "innovative instructional classroom projects/best practices" by exploring questions in the literature about perceptions of Realism in strategy simulation. Findings: First, student survey found that perceptions about Realism were lower than perceptions about Interface and Comprehension. Second, content…
Descriptors: Business Administration Education, Capstone Experiences, Student Attitudes, Simulation
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Cosemans, Tim; Rosseel, Yves; Gelper, Sarah – Educational and Psychological Measurement, 2022
Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists discover latent variables. Yet, the results can be influenced by the methodological decisions the researcher makes along the way. In this article, we focus on the choice regarding the number of factors to retain: We compare the performance of the…
Descriptors: Social Science Research, Research Methodology, Graphs, Factor Analysis
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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
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Bixi Zhang; Spyros Konstantopoulos – Society for Research on Educational Effectiveness, 2022
Background: Meta-analysis refers to the statistical methods employed to combine results of several empirical studies in a topic of interest (Hedges & Olkin, 1985). Meta-analysis is often included in literature review studies to quantitatively analyze data from a collection of studies (Valentine et al., 2010). The statistical power of a…
Descriptors: Meta Analysis, Probability, Effect Size, Research Methodology
Jihong Zhang – ProQuest LLC, 2022
Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…
Descriptors: Bayesian Statistics, Cognitive Measurement, Models, Classification
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Shaimaa Khamis Mostafa; Rania H. Abdel-Rahman; Ahmed K. Mansour; Magda A. El-Sherbeny – Discover Education, 2025
It is pivotal to implement effective collaboration among professionals from different disciplines in the healthcare sector. As the complexity of patients' health needs grows, so does the importance of developing innovative and efficient models of patient care that rely on interprofessional collaborative teamwork. Interprofessional education (IPE)…
Descriptors: Pharmaceutical Education, Medical Education, Interprofessional Relationship, Undergraduate Study
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Ayse Arikan Dönmez; Afra Çalik; Kübra Terzi; Sevgisun Kapucu – Education and Information Technologies, 2025
The present pilot study aimed to develop, implement, and evaluate an escape room game for oncologic emergencies. This quasi-experimental pilot study was developed and evaluated by teachers for an oncology nursing course. A total of 76 nursing students ?participated in the study. After completing the game, students were given access to the data…
Descriptors: Puzzles, Educational Games, Undergraduate Students, Nursing Students
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Charlotte Z. Mann; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2025
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…
Descriptors: Causal Models, Statistical Analysis, Privacy, Risk
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Cassiday, Kristina R.; Cho, Youngmi; Harring, Jeffrey R. – Educational and Psychological Measurement, 2021
Simulation studies involving mixture models inevitably aggregate parameter estimates and other output across numerous replications. A primary issue that arises in these methodological investigations is label switching. The current study compares several label switching corrections that are commonly used when dealing with mixture models. A growth…
Descriptors: Probability, Models, Simulation, Mathematics
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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
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Patricia Briscoe – Journal of Experiential Education, 2024
Background: Research suggests that many educators hold inaccurate or incomplete perceptions of poverty leading to stereotyping of students living in poverty. It is important for future teachers to understand more about the complexities of poverty so they can bridge gaps between misconceptions and understanding for their students, families, and…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Poverty
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Ahmad Mohammad Sati Hodrob; Malakeh Z. Malak; Ahmad Ayed – Interactive Learning Environments, 2024
Airway management is one of the main situations that required nursing skills. Actual airway management experience on live patients is limited due to few opportunities to perform endotracheal intubation for students and issues related to students' liability. Therefore, this study evaluated the effect of High Fidelity Simulation airway management…
Descriptors: Foreign Countries, Nursing Students, Nursing Education, Medical Services
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Jennifer L. Proper; Haitao Chu; Purvi Prajapati; Michael D. Sonksen; Thomas A. Murray – Research Synthesis Methods, 2024
Drug repurposing refers to the process of discovering new therapeutic uses for existing medicines. Compared to traditional drug discovery, drug repurposing is attractive for its speed, cost, and reduced risk of failure. However, existing approaches for drug repurposing involve complex, computationally-intensive analytical methods that are not…
Descriptors: Network Analysis, Meta Analysis, Prediction, Drug Therapy
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Tao Huang; Jing Geng; Yuxia Chen; Han Wang; Huali Yang; Shengze Hu – Education and Information Technologies, 2024
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…
Descriptors: Artificial Intelligence, Elementary Schools, Secondary Schools, Prediction
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Tiffany L. Benaroya; Deborah McKernan-Ace; Sandra L. Rogers; Meredith Cimmino – Journal of Occupational Therapy Education, 2024
Standardized patient encounters are being utilized more often in occupational therapy education as a replacement for traditional fieldwork. While there is a growing body of research to support the use of this model in developing student skillsets and confidence, there remains limited information on the topic, and no studies which look at its use…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Student Attitudes, Patients
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