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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
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Jeffrey Matayoshi; Shamya Karumbaiah – Journal of Educational Data Mining, 2024
Various areas of educational research are interested in the transitions between different states--or events--in sequential data, with the goal of understanding the significance of these transitions; one notable example is affect dynamics, which aims to identify important transitions between affective states. Unfortunately, several works have…
Descriptors: Models, Statistical Bias, Data Analysis, Simulation
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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
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Yan Xia; Selim Havan – Educational and Psychological Measurement, 2024
Although parallel analysis has been found to be an accurate method for determining the number of factors in many conditions with complete data, its application under missing data is limited. The existing literature recommends that, after using an appropriate multiple imputation method, researchers either apply parallel analysis to every imputed…
Descriptors: Data Interpretation, Factor Analysis, Statistical Inference, Research Problems
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Xiaohui Luo; Yueqin Hu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…
Descriptors: Structural Equation Models, Longitudinal Studies, Data Analysis, Causal Models
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Gyeongcheol Cho; Heungsun Hwang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Generalized structured component analysis (GSCA) is a multivariate method for specifying and examining interrelationships between observed variables and components. Despite its data-analytic flexibility honed over the decade, GSCA always defines every component as a linear function of observed variables, which can be less optimal when observed…
Descriptors: Prediction, Methods, Networks, Simulation
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
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Noelle C. Dimitri; Cali-Ryan Collin; Rebekah S. Halmo; Emma S. Wright; Nicole Dodillet – Journal of Teaching in Social Work, 2024
This qualitative study aims to examine foundation year Master of Social Work (MSW) students' experiences with the objective structured clinical examination (OSCE) using a holistic framework. Study participants included 64 MSW students who completed a 15-minute virtual OSCE with standardized patients and expert observers followed by a five minute…
Descriptors: Caseworkers, Social Work, Masters Programs, Graduate Students
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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
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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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Hongxi Li; Shuwei Li; Liuquan Sun; Xinyuan Song – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Structural equation models offer a valuable tool for delineating the complicated interrelationships among multiple variables, including observed and latent variables. Over the last few decades, structural equation models have successfully analyzed complete and right-censored survival data, exemplified by wide applications in psychological, social,…
Descriptors: Statistical Analysis, Statistical Studies, Structural Equation Models, Intervals
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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
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Haley M. Coleman; Kelly S. Hall; Debra A. Forman; Daniella G. Varela – Teaching and Learning in Communication Sciences & Disorders, 2025
Simulated learning is firmly established in health-related disciplines with a growing presence in the field of speech-language pathology. However, research on its efficacy and outcomes in this field is still emerging. A synthesis of simulated learning practices and associated student learning outcomes within the field of speech-language pathology…
Descriptors: Simulation, Learning Processes, Allied Health Personnel, Speech Language Pathology
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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
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Zuowei Wang; Tenaha O'Reilly; Michael Flor; Beata Beigman Klebanov; Kelly Bruce – Reading Research Quarterly, 2025
With only about a third of students in US public schools achieving the NAEP Proficient level, many educators believe students are not getting enough reading practice. However, how much reading practice is enough? This study quantifies the relationship between the amount of book reading and the expected number of words learned. We collected 45…
Descriptors: Novels, Childrens Literature, Reading Achievement, Recreational Reading
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