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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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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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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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Xiao Liu; Lijuan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In parallel process latent growth curve mediation models, the mediation pathways from treatment to the intercept or slope of outcome through the intercept or slope of mediator are often of interest. In this study, we developed causal mediation analysis methods for these mediation pathways. Particularly, we provided causal definitions and…
Descriptors: Causal Models, Mediation Theory, Psychological Studies, Educational Research
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Sabina Khan; Jacqueline Achon – Journal of Occupational Therapy Education, 2024
Due to advancements in medical science leading to increased life expectancy, the number of older adults is on the rise. Empathy is crucial in catering to the unique needs of this vulnerable population. The use of geriatric simulation suits to cultivate empathy among health science students is gaining traction. Nevertheless, the efficacy of this…
Descriptors: Older Adults, Aging (Individuals), Geriatrics, Simulation
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Aynur Uysal Toraman; Süheyla Altug Özsoy; Özüm Erkin; Zuhal Emlek Sert; Sevcan Topçu; Esin Ates – Interactive Learning Environments, 2024
The use of standardized patients in nursing education provides many advantages such as providing students with realistic learning opportunities, defining patient needs, reducing anxiety, and stress while caring for real patients in clinical practice, and increasing clinical performance, theoretical knowledge, and self-confidence. This study aimed…
Descriptors: Standards, Family Planning, Nursing Students, Nursing Education
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Mostafa Hosseinzadeh; Ki Lynn Matlock Cole – Educational and Psychological Measurement, 2024
In real-world situations, multidimensional data may appear on large-scale tests or psychological surveys. The purpose of this study was to investigate the effects of the quantity and magnitude of cross-loadings and model specification on item parameter recovery in multidimensional Item Response Theory (MIRT) models, especially when the model was…
Descriptors: Item Response Theory, Models, Maximum Likelihood Statistics, Algorithms
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