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Statistical Modelling of the Impact of Online Courses in Higher Education on Sustainable Development
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
Al Amin, Md; Razib Alam, Md; Alam, Mohammad Zahedul – E-Learning and Digital Media, 2023
This study aims at exploring the underlying determinants influencing students' continuance intention to use an e-Learning platform during the COVID-19 pandemic. Based on the technology acceptance model and expectation-confirmation model, the study investigated the role of contextual (i.e., social isolation), psychological (academic year loss and…
Descriptors: Electronic Learning, Intention, COVID-19, Pandemics
Kazemkhah Hasankiadeh, Fatemeh; Azari Noughabi, Mostafa – Asia-Pacific Education Researcher, 2023
Due to the pure novelty of the concept of teacher L2 grit, scant research attention has been dedicated to the exploration of its antecedents within the domain of foreign language education. Therefore, the present study aimed to explore whether English as a Foreign Language (EFL) teachers' L2 grit could be predicted by their sense of self-efficacy…
Descriptors: English (Second Language), Second Language Instruction, Language Teachers, Resilience (Psychology)
Esra Demirtas; I?sa Korkmaz – International Journal of Contemporary Educational Research, 2023
This study was conducted to reveal the role of 4th grade students' level of metacognitive awareness in predicting their academic achievement. The Relational Survey Method, one of the quantitative data collection methods, was used in the study. The study group was selected through random sampling method. It consists of 526 fourth grade students…
Descriptors: Metacognition, Grade 4, Academic Achievement, Foreign Countries
A. Devisakti; T. Ramayah – Interactive Learning Environments, 2023
E-learning has the potential to attract learners into the learning environment with its abundance benefits. However, learners tend to discontinue the use of e-learning as they lose intention if they are not satisfied. In regard to this, this study explored the sense of belonging and grit in the e-learning portal environment. A total of 441…
Descriptors: Sense of Community, Academic Persistence, Electronic Learning, Learning Management Systems
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
Rihab Wit Daryono; Nur Hidayat; Muhammad Nurtanto; Athok Fu'Adi – Journal of Technology and Science Education, 2024
The discrepancy between competence and real work in engineering graduates can be resolved with cooperation by the construction industry. Therefore, it is necessary to determine the appropriate and required architectural engineering competencies with the current demands and conditions of the construction industry. So, this study aims to analyze the…
Descriptors: Foreign Countries, Construction Industry, Building Trades, Engineering Education
Dae Woong Ham; Luke Miratrix – Grantee Submission, 2024
The consequence of a change in school leadership (e.g., principal turnover) on student achievement has important implications for education policy. The impact of such an event can be estimated via the popular Difference in Difference (DiD) estimator, where those schools with a turnover event are compared to a selected set of schools that did not…
Descriptors: Trend Analysis, Faculty Mobility, Academic Achievement, Principals
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
Emma Somer; Carl Falk; Milica Miocevic – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Factor Score Regression (FSR) is increasingly employed as an alternative to structural equation modeling (SEM) in small samples. Despite its popularity in psychology, the performance of FSR in multigroup models with small samples remains relatively unknown. The goal of this study was to examine the performance of FSR, namely Croon's correction and…
Descriptors: Scores, Structural Equation Models, Comparative Analysis, Sample Size
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
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Educational and Psychological Measurement, 2022
Multilevel structural equation modeling (MSEM) allows researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This article…
Descriptors: Structural Equation Models, Factor Structure, Statistical Bias, Error of Measurement
Sideridis, Georgios D.; Jaffari, Fathima – Measurement and Evaluation in Counseling and Development, 2022
The present study describes an R function that implements six corrective procedures developed by Bartlett, Swain, and Yuan in the correction of 21 statistics associated with the omnibus Chi-square test, the residuals, or fit indices in confirmatory factor analysis (CFA) and structural equation modeling (SEM).
Descriptors: Statistical Analysis, Goodness of Fit, Factor Analysis, Structural Equation Models
Lirios, Cruz García – Journal of Interdisciplinary Studies in Education, 2022
The objective of this work was to confirm the factorial structure of collaborative networks in a university in central Mexico during the pandemic. A cross-sectional, psychometric, and confirmatory study was carried out with a sample of 300 administrators, teachers, and students from a public university in central Mexico. From a structural model,…
Descriptors: COVID-19, Pandemics, Public Colleges, Educational Cooperation
Arthur, Yarhands Dissou; Dogbe, Courage Simon Kofi; Asiedu-Addo, Samuel Kwesi – Journal of Applied Research in Higher Education, 2022
Purpose: This study explored the effect of mathematics teaching quality on mathematics achievement among undergraduate students, using the SERVQUAL model. Design/methodology/approach: The sample comprised of 320 first-year undergraduate students of a public university in Ghana. Structural equation modeling (SEM) was run in Amos (v.23) to test the…
Descriptors: Mathematics Achievement, Instructional Effectiveness, Undergraduate Students, Models

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