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Sameer Mohammed Majed Dandan; Odai Falah Mohammad AL-Ghaswyneh – International Journal of Assessment Tools in Education, 2024
This study focuses on evaluating the quality of competency transfer through various assessment methods and results, considering diverse stakeholder perspectives. The research aims to introduce an innovative approach for validating assessment outcomes, leveraging predicted sub-measurements, and transforming Boolean parameters' symbols into a binary…
Descriptors: Evaluation Methods, Models, Prediction, Employers
David Bruns-Smith; Oliver Dukes; Avi Feller; Elizabeth L. Ogburn – Grantee Submission, 2024
We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular "doubly robust" or "de-biased machine learning estimators" combine outcome modeling with balancing weights -- weights that achieve covariate balance directly in lieu of estimating and…
Descriptors: Regression (Statistics), Weighted Scores, Data Analysis, Robustness (Statistics)
Lennert J. Groot; Kees-Jan Kan; Suzanne Jak – Research Synthesis Methods, 2024
Researchers may have at their disposal the raw data of the studies they wish to meta-analyze. The goal of this study is to identify, illustrate, and compare a range of possible analysis options for researchers to whom raw data are available, wanting to fit a structural equation model (SEM) to these data. This study illustrates techniques that…
Descriptors: Meta Analysis, Structural Equation Models, Research Methodology, Data Analysis
Yasushi Tsujimoto; Yusuke Tsutsumi; Yuki Kataoka; Akihiro Shiroshita; Orestis Efthimiou; Toshi A. Furukawa – Research Synthesis Methods, 2024
Meta-analyses examining dichotomous outcomes often include single-zero studies, where no events occur in intervention or control groups. These pose challenges, and several methods have been proposed to address them. A fixed continuity correction method has been shown to bias estimates, but it is frequently used because sometimes software (e.g.,…
Descriptors: Meta Analysis, Literature Reviews, Epidemiology, Error Correction
Qian Zhang; Qi Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In the article, we focused on the issues of measurement error and omitted confounders while conducting mediation analysis under experimental studies. Depending on informativeness of the confounders between the mediator (M) and outcome (Y), we described two approaches. When researchers are confident that primary confounders are included (e.g.,…
Descriptors: Error of Measurement, Research and Development, Mediation Theory, Causal Models
Ana C. Maia; Brittany Devies – New Directions for Student Leadership, 2024
This article looks to explore four emergent themes from this special issue focused on the leadership learning framework: culturally relevant and socially just leadership foundations, intentional and unintentional leadership learning and socialization, the interconnectedness of each aspect of the leadership learning framework and using the…
Descriptors: Cultural Relevance, Leadership Styles, Social Justice, Intention
Todd H. Sundeen; Aeshah Alsarawi – Interchange: A Quarterly Review of Education, 2024
Despite the ideological and political support of inclusive education for students with disabilities in U.S schools, the interpretation of the concept of inclusion is still vague and disputed. This article proposes a continuum model of inclusion based on current research, policies, and practice. The inclusion continuum model was developed to…
Descriptors: Inclusion, Students with Disabilities, Stakeholders, Student Placement
Elisa Lankeit; Rolf Biehler – ZDM: Mathematics Education, 2024
In this paper, we propose a novel conceptual framework tailored for modeling the meaning of mathematical concepts in university-level mathematics, addressing their rigorous nature and their relationships with related concepts as well as interpretations in various contexts. Within this framework, we present a model of meaning for the concepts of…
Descriptors: Mathematical Concepts, Mathematics Education, Textbooks, Content Analysis
Jingwen Wang; Xiaohong Yang; Dujuan Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
The large scale expansion of online courses has led to the crisis of course quality issues. In this study, we first established an evaluation index system for online courses using factor analysis, encompassing three key constructs: course resource construction, course implementation, and teaching effectiveness. Subsequently, we employed factor…
Descriptors: Educational Quality, Online Courses, Course Evaluation, Models
Heather C. Hill; Zid Mancenido; Susanna Loeb – Educational Researcher, 2024
Causal evaluations in teacher education are rare. Underlying reasons include a lack of clearly defined treatments, a lack of research designs that can work in the context of teacher education programs, and a lack of resources for enacting these designs. This article provides a framework for how to fill these gaps. We first propose an approach to…
Descriptors: Teacher Education, Teacher Researchers, Educational Research, Research Needs
Huiying Dai; So Hee Yoon – International Journal of Web-Based Learning and Teaching Technologies, 2024
The multimedia simulation teaching mode introduces students into virtual scenes for learning. Whether it is enhancing students' interest in learning or enhancing their physical fitness, it is a new teaching mode. This article discusses the establishment of a BP neural network model to study the prediction of students' physical fitness and conducts…
Descriptors: Physical Education, Physical Fitness, Prediction, Adolescents
Rashelle J. Musci; Joseph Kush; Elise T. Pas; Catherine P. Bradshaw – Grantee Submission, 2024
Given the increased focus of educational research on what works for whom and under what circumstances over the last decade, educational researchers are increasingly turning toward mixture models to identify heterogeneous subgroups among students. Such data are inherently nested, as students are nested within classrooms and schools. Yet there has…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Nonparametric Statistics, Educational Research
Geoffery D. Fernquist; Karen E. Samonds – Anatomical Sciences Education, 2024
Embryology is an essential component to understanding human anatomy. It requires an in-depth understanding of 3D knowledge but is primarily taught with 2-dimensional resources. In particular, the development of the human heart is a complex process and difficult to understand using traditional teaching methods. We present here a series of heart…
Descriptors: Embryology, Models, Heart Disorders, Visual Aids
Karl Schweizer; Andreas Gold; Dorothea Krampen; Stefan Troche – Educational and Psychological Measurement, 2024
Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…
Descriptors: Correlation, Factor Analysis, Measurement Techniques, Item Analysis
Yujie Zhou; Ge Cao; Xiao-Liang Shen – Education and Information Technologies, 2024
Online learning communities play a crucial role in delivering high-quality courses to a large number of learners. However, to maintain an economically sustainable and constantly evolving online learning ecosystem, it is essential to create a virtuous cycle from knowledge production to knowledge consumption by charging learners to incentivize…
Descriptors: Electronic Learning, Economics, Sustainability, Models