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Daniel B. Wright – Open Education Studies, 2024
Pearson's correlation is widely used to test for an association between two variables and also forms the basis of several multivariate statistical procedures including many latent variable models. Spearman's [rho] is a popular alternative. These procedures are compared with ranking the data and then applying the inverse normal transformation, or…
Descriptors: Models, Simulation, Statistical Analysis, Correlation
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
Neta Shaby; Ran Peleg; Ian Coombs – Research in Science Education, 2024
This research explores the process of a Participatory Research (PR) project that brought together university researchers with museum practitioners to create reflective tools that can be used to better understand real practical challenges. This project followed Bourke's (2009) definition of PR, viewing the process as a collaborative endeavour…
Descriptors: Participatory Research, Museums, Workshops, Models
Dapeng Qu; Ruiduo Li; Tianqi Yang; Songlin Wu; Yan Pan; Xingwei Wang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
There are many important and interesting academic competitions that attract an increasing number of students. However, traditional student team building methods usually have strong randomness or involve only some first-class students. To choose more suitable students to compose a team and improve students' abilities overall, a competition-oriented…
Descriptors: Competition, Teamwork, Student Behavior, Methods
Lihan Chen; Milica Miocevic; Carl F. Falk – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Data pooling is a powerful strategy in empirical research. However, combining multiple datasets often results in a large amount of missing data, as variables that are not present in some datasets effectively contain missing values for all participants in those datasets. Furthermore, data pooling typically leads to a mix of continuous and…
Descriptors: Simulation, Factor Analysis, Models, Statistical Analysis
Mikael Quennerstedt; Erik Backman; Jonas Mikaels – Journal of Adventure Education and Outdoor Learning, 2025
An ongoing discussion is a debate about the benefits of outdoor activities for health, where a narrowness regarding the benefits as a matter of curing or preventing disease has been questioned. Hence, there is an urgent need to theorize further the relationship between outdoor activities and health with robust theoretical frameworks that can guide…
Descriptors: Outdoor Education, Educational Benefits, Health, Models
Ru Ying Cai; Andrea C. Samson – Autism: The International Journal of Research and Practice, 2025
Difficulties regulating emotions have been coined as inherent to autism, possibly even presenting a core difficulty of autism. While several models of emotion regulation have been proposed in the past, in this targeted review article, we aim to map emotion regulation difficulties in autistic individuals within the framework of the extended process…
Descriptors: Autism Spectrum Disorders, Self Control, Psychological Patterns, Emotional Problems
David Hellstrom; Jenny P. Steiner – New Directions for Student Leadership, 2024
Teaching leadership in today's world requires a combination of introducing theory and best practices, as well as allowing moments that are happening in real-time, both current events and interactions from the "laboratory" of the classroom, to affect the teaching agenda. Instructors can lean into the model of Intentional Emergence (IE) to…
Descriptors: Intention, Current Events, Leadership Training, Models
Louis Botha – Advances in Research on Teaching, 2024
As Ratnam makes clear, a cultural-historical perspective on teacher/faculty excessive entitlement is indispensable if we are to use this concept to work with, rather than undermine, education practitioners. In this chapter, a networked relational model of activity is proposed as a tool for understanding excessive entitlement from a…
Descriptors: Teacher Attitudes, Expectation, Networks, Models
Michael Kane – ETS Research Report Series, 2023
Linear functional relationships are intended to be symmetric and therefore cannot generally be accurately estimated using ordinary least squares regression equations. Orthogonal regression (OR) models allow for errors in both "Y" and "X" and therefore can provide symmetric estimates of these relationships. The most…
Descriptors: Factor Analysis, Regression (Statistics), Mathematical Models, Relationship
Hu, Xuelong – Curriculum Journal, 2023
This paper makes a theoretical contribution to the discussion of interdisciplinary knowledge in curriculum and research. As a challenge to much of the Mode 2 thesis concerned only with the importance of knowledge being socially relevant, this paper demonstrates how a Bernsteinian approach to interdisciplinarity relates to the internal…
Descriptors: Educational Philosophy, Interdisciplinary Approach, Epistemology, Models
Riley, Richard D.; Ensor, Joie; Hattle, Miriam; Papadimitropoulou, Katerina; Morris, Tim P. – Research Synthesis Methods, 2023
Individual participant data meta-analysis (IPDMA) projects obtain, check, harmonise and synthesise raw data from multiple studies. When undertaking the meta-analysis, researchers must decide between a two-stage or a one-stage approach. In a two-stage approach, the IPD are first analysed separately within each study to obtain aggregate data (e.g.,…
Descriptors: Data Analysis, Meta Analysis, Models, Computation
Ellinor Hultmark; Susanne Engström; Annica Gullberg – International Journal of Technology and Design Education, 2024
Understanding the reasoning in the design process is essential to comprehend design practice and promote students' learning. Followingly, to effectively support students through the design process, it is crucial to pay attention to their reasoning. Therefore, in this study, we have built a model for students' reasoning in the design process in…
Descriptors: Holistic Approach, Thinking Skills, Design, Technology Education
Bradley M. Coleman; J. C. Bunch; T. Grady Roberts – Journal of Agricultural Education, 2024
While all learning and knowledge can be attributed to experiences, not all experiences are educative. Experiential learning is a highly utilized theory and pedagogical practice in agricultural education and has been since its inception as a discipline. The purpose of this research is to examine the theory of experiential learning as it applies to…
Descriptors: Agricultural Education, Experiential Learning, Educational Theories, Models
Ronnel B. King; Luke K. Fryer – Educational Psychology Review, 2024
This special issue was motivated by the realization that student motivation is inherently complex and no single framework can capture it in its full richness. However, the current zeitgeist in educational psychology seems to explicitly discourage attempts at integration as researchers are incentivized to stay within their own theoretical camps. In…
Descriptors: Models, Motivation, Student Motivation, Educational Psychology