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Freddy Juarez; Jarred Pernier; Brittany Devies – New Directions for Student Leadership, 2024
This article shares the foundational leadership and organizational wellness (FLOW) model, which is a leadership development model that seeks to better understand the relationship between individual leadership development and organizational development and wellness. The model is presented as a whole, followed by deep exploration by each piece of…
Descriptors: Wellness, Organizational Culture, Leadership Training, Models
Ken Rigby – International Journal of Bullying Prevention, 2024
This article examines alternative and supplementary ways in which theorists and researchers have sought to account for bullying behavior among students in schools. Contemporary explanations acknowledge the variety, complexity, and interactivity of both person and environmental factors in determining acts of bullying in schools. Two explanatory…
Descriptors: Bullying, Schools, Student Behavior, Models
Ihnwhi Heo; Fan Jia; Sarah Depaoli – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The Bayesian piecewise growth model (PGM) is a useful class of models for analyzing nonlinear change processes that consist of distinct growth phases. In applications of Bayesian PGMs, it is important to accurately capture growth trajectories and carefully consider knot placements. The presence of missing data is another challenge researchers…
Descriptors: Bayesian Statistics, Goodness of Fit, Data Analysis, Models
Yujing He; Sirpa Tani; Mikko Puustinen – Journal of Geography, 2024
Multiple perspectives on geographical thinking are lacking in the teaching of climate change in school geography. This study establishes an epistemic model through a co-construction design to support geography teachers' curriculum making with respect to climate change. We developed the preliminary model with four main geographical perspectives,…
Descriptors: Climate, Geography, Curriculum Development, Ecology
Liunian Li – ProQuest LLC, 2024
To build an Artificial Intelligence system that can assist us in daily lives, the ability to understand the world around us through visual input is essential. Prior studies train visual perception models by defining concept vocabularies and annotate data against the fixed vocabulary. It is hard to define a comprehensive set of everything, and thus…
Descriptors: Artificial Intelligence, Visual Stimuli, Visual Perception, Models
Gerhard Tutz; Pascal Jordan – Journal of Educational and Behavioral Statistics, 2024
A general framework of latent trait item response models for continuous responses is given. In contrast to classical test theory (CTT) models, which traditionally distinguish between true scores and error scores, the responses are clearly linked to latent traits. It is shown that CTT models can be derived as special cases, but the model class is…
Descriptors: Item Response Theory, Responses, Scores, Models
Carlos Cinelli; Andrew Forney; Judea Pearl – Sociological Methods & Research, 2024
Many students of statistics and econometrics express frustration with the way a problem known as "bad control" is treated in the traditional literature. The issue arises when the addition of a variable to a regression equation produces an unintended discrepancy between the regression coefficient and the effect that the coefficient is…
Descriptors: Regression (Statistics), Robustness (Statistics), Error of Measurement, Testing Problems
Jinsook Lee; Yann Hicke; Renzhe Yu; Christopher Brooks; René F. Kizilcec – British Journal of Educational Technology, 2024
Large language models (LLMs) are increasingly adopted in educational contexts to provide personalized support to students and teachers. The unprecedented capacity of LLM-based applications to understand and generate natural language can potentially improve instructional effectiveness and learning outcomes, but the integration of LLMs in education…
Descriptors: Artificial Intelligence, Technology Uses in Education, Equal Education, Algorithms
Andrew Kemp; Edward Palmer; Peter Strelan; Helen Thompson – British Journal of Educational Technology, 2024
Many technology acceptance models used in education were originally designed for general technologies and later adopted by education researchers. This study extends Davis' technology acceptance model to specifically evaluate educational technologies in higher education, focusing on virtual classrooms. Prior research informed the construction of…
Descriptors: College Students, Educational Technology, Models, Student Attitudes
Yi Feng – Asia Pacific Education Review, 2024
Causal inference is a central topic in education research, although oftentimes it relies on observational studies, which makes causal identification methodologically challenging. This manuscript introduces causal graphs as a powerful language for elucidating causal theories and an effective tool for causal identification analysis. It discusses…
Descriptors: Causal Models, Graphs, Educational Research, Educational Researchers
Jihong Zhang; Jonathan Templin; Xinya Liang – Journal of Educational Measurement, 2024
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
Felicia O’Rourke – NACADA Journal, 2024
Chronic stress and burnout are prevalent in Division I athletics, yet there is limited research on job burnout and workplace stress among academic advisors specializing in Division I athletics. This study contributes a deeper understanding of the experiences of Division I athletics academic advisors regarding job burnout and its contributing…
Descriptors: Academic Advising, Faculty Advisers, Burnout, Anxiety
Xiaotian Dai; Gareth J. Williams; John A. Groeger; Gary Jones; Keeley Brookes; Wei Zhou; Jing Hua; Wenchong Du – Autism: The International Journal of Research and Practice, 2025
Increasing evidence highlights the role of disrupted circadian rhythms in the neural dysfunctions and sleep disturbances observed in autism spectrum disorder and attention-deficit/hyperactivity disorder. However, the causality and directionality of these associations remain unclear. In this study, we employed a bidirectional two-sample Mendelian…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Attention Deficit Hyperactivity Disorder, Sleep
Mohd Zaidi Amiruddin; Achmad Samsudin; Andi Suhandi; Bayram Costu – Journal of Education and Learning (EduLearn), 2025
Difficulties in understanding physics concepts are often experienced by students such as in the material of regular uniform motion. This study aims to describe the mental models of first-year secondary school students on regular straight-line motion. This research utilized a case study method of 167 students at the secondary level with an average…
Descriptors: High School Students, Physics, Scientific Concepts, Schemata (Cognition)
Alexander Robitzsch; Oliver Lüdtke – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The random intercept cross-lagged panel model (RICLPM) decomposes longitudinal associations between two processes X and Y into stable between-person associations and temporal within-person changes. In a recent study, Bailey et al. demonstrated through a simulation study that the between-person variance components in the RICLPM can occur only due…
Descriptors: Longitudinal Studies, Correlation, Time, Simulation