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Walter P. Vispoel; Hyeryung Lee; Hyeri Hong – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We demonstrate how to analyze complete multivariate generalizability theory (GT) designs within structural equation modeling frameworks that encompass both individual subscale scores and composites formed from those scores. Results from numerous analyses of observed scores obtained from respondents who completed the recently updated form of the…
Descriptors: Structural Equation Models, Multivariate Analysis, Generalizability Theory, College Students
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Xinjian Fu; Yingxiang Li – European Journal of Education, 2025
University student academic competitions can test students' learning outcomes, improve their academic performance and stimulate their interest in learning. Exploring the behavioural mechanisms influencing students' academic competition is quite important, but there is currently little research on this topic. This study aims to fill this gap in the…
Descriptors: College Students, Student Participation, Competition, Structural Equation Models
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Timothy Teo; Fang Huang; Jinbo He – Interactive Learning Environments, 2024
Given the lack of cultural consideration of studies on digital natives, this study reports on a large-scale validation of the Digital Native Assessment Scale (DNAS) among university students from three regions of Greater China: Chinese mainland, Macau, and Taiwan, to examine measurement invariance and latent mean differences in the four constructs…
Descriptors: Foreign Countries, Digital Literacy, Structural Equation Models, College Students
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Sergio Dominguez-Lara; Mario A. Trógolo; Rodrigo Moreta-Herrera; Diego Vaca-Quintana; Manuel Fernández-Arata; Ana Paredes-Proaño – Journal of Psychoeducational Assessment, 2025
Academic engagement plays a crucial role in students' learning and performance. One of the most popular measures for assessing this construct is the Utrecht Work Engagement Scale for Students (UWES-S), which is based on a tridimensional conceptualization consisting of dedication, vigor, and absorption. However, prior research on its factor…
Descriptors: Learner Engagement, College Students, Foreign Countries, Factor Analysis
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Walter P. Vispoel; Hyeri Hong; Hyeryung Lee – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM…
Descriptors: Structural Equation Models, Self Concept Measures, Self Esteem, Generalizability Theory
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Knowlden, Adam P.; Naher, Shabnam – American Journal of Health Education, 2023
Background: Poor sleep is commonplace among traditional entry university students. Lifestyle modifications, such as time management behaviors, may improve sleep quality by allocating sufficient time for sleep and mitigating stress-associated sleep latency inefficiencies. Purpose: The purpose of our study was to evaluate time management behaviors…
Descriptors: Time Management, Student Behavior, Structural Equation Models, Prediction
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García, Alfonso Javier; Froment, Facundo A.; Bohórquez, María Rocío – Journal of New Approaches in Educational Research, 2023
University students' motivation can be affected by several factors, one being their perceptions of teacher behaviour in the classroom. This study aimed to predict university students' state motivation from their perceptions of teacher credibility. The participants were 344 students from the University of Seville. A structural equation model was…
Descriptors: College Students, Credibility, Teaching Methods, Student Motivation
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Henry Egbezien Inegbedion – Education and Information Technologies, 2024
Collaboration is critical to the student-centred learning approach and this is a characteristic feature of the online learning system, as collaborative learning happens to be a major attraction of the online education system. This study investigated innovation in education technology and peer learning outcomes with the mediation of learners'…
Descriptors: Foreign Countries, College Students, Educational Technology, Learning Motivation
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Arango-Uribe, Marta Luz; Barrera-Causil, Carlos Javier; Pallares, Vladimir; Rojas, Jessica Maria; Mercado Díaz, Luís Roberto; Marrone, Rebecca; Marmolejo-Ramos, Fernando – International Journal of Sustainability in Higher Education, 2023
Purpose: The concept of sustainable development (SD) is a popular response to society's need to preserve and extend the life span of natural resources. One of the 17 goals of the SD is "education quality" (Fourth Goal of Sustainable Development [SDG-4]). Education quality is an important goal because education is a powerful force that…
Descriptors: Sustainable Development, Structural Equation Models, Online Courses, Higher Education
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Walter P. Vispoel; Hyeri Hong; Hyeryung Lee; Terrence D. Jorgensen – Applied Measurement in Education, 2023
We illustrate how to analyze complete generalizability theory (GT) designs using structural equation modeling software ("lavaan" in R), compare results to those obtained from numerous ANOVA-based packages, and apply those results in practical ways using data obtained from a large sample of respondents, who completed the Self-Perception…
Descriptors: Generalizability Theory, Design, Structural Equation Models, Error of Measurement
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Mohammad Awad Al-Dawoody Abdulaal; Iman El-Nabawi Abdel Wahed Shaalan; Maryumah Heji Alenazi; Naglaa Fathy Mohammad Atia Abuslema – SAGE Open, 2024
The main goals of a successful education should consider students' mental health and academic achievement. To overcome obstacles and setbacks in the classroom, the learners must be equipped with self-aid strategies. Despite the associations between affection control, the foundation of self-evaluation, and theoretical floatability, no research in…
Descriptors: Foreign Countries, College Students, English (Second Language), Psycholinguistics
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Ram B. Basnet; David J. Lemay; Paul Bazelais – Knowledge Management & E-Learning, 2024
Academic and practitioner interest in data science has increased considerably. Yet scholarly understanding of what motivates students to learn data science is still limited. Drawing on the theory of planned behavior, we propose a research model to examine the determinants of behavioral intentions to learn data science. In the proposed research…
Descriptors: Student Attitudes, Intention, Data Science, Statistics Education
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Joanna L. Dickert; Jian Li – Research in Higher Education, 2024
As colleges and universities grapple with uncertainty around current and future enrollment as well as increasingly vocal questions about the value of postsecondary education, it is critically important that institutions ascertain and invest in the elements of campus learning and engagement that add value to the undergraduate experience. This study…
Descriptors: College Graduates, Student Participation, Educational Practices, Longitudinal Studies
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Anthonysamy, Lilian – Cogent Education, 2023
The primary objective of this paper is twofold; firstly, to analyse the relationship between metacognitive strategies and learning performance. Secondly, a new mediator is proposed, namely digital literacy. Mental resilience is an omnitemporal skill that enables individuals to gain resilience thinking to successfully adapt to life tasks. Although…
Descriptors: Resilience (Psychology), Metacognition, Outcomes of Education, Academic Achievement
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Herwin, Herwin; Fathurrohman, Fathurrohman; Wuryandani, Wuri; Dahalan, Shakila Che; Suparlan, Suparlan; Firmansyah, Firmansyah; Kurniawati, Kurniawati – International Journal of Evaluation and Research in Education, 2022
This study aimed to evaluate structural models and measurement models of student satisfaction in online learning. This was a quantitative study using a survey research design. Structural model testing was done by examining the relationship between several variables. The variables in question were the learning management system (LMS), admin…
Descriptors: Models, Measurement, Student Satisfaction, Electronic Learning
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