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Fleming, Jesse I.; McLucas, Alan S.; Cook, Bryan G. – Remedial and Special Education, 2023
Preregistration involves researchers publicly registering key study elements before conducting a study to increase the transparency of research and limit the use and impact of questionable research practices. To support special education researchers' engagement with preregistrations, in this article we provide an overview of preregistration and…
Descriptors: Special Education, Educational Research, Research Methodology, Researchers
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Khulod Aljehani; Laila Mohebi – Journal of Education and e-Learning Research, 2025
Challenges remain in achieving world-class standards in teaching and research while higher education has recently developed rapidly in Arabian Gulf countries. This mixed-methods study compared research engagement among academics in the Kingdom of Saudi Arabia (KSA) and the United Arab Emirates (UAE) about demographics, institutional support, and…
Descriptors: Foreign Countries, College Faculty, Teacher Researchers, Cultural Differences
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Patrick O’Neill; Jessica Pugel; Elizabeth C. Long; D. Max Crowley; Taylor Scott – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: In theory and practice, it is understood that personal relationships play a role in the effectiveness of translational models that bridge research and policy. These models can be made more efficient by understanding factors impacting relationships between policy-making players and third-party knowledge brokers. Aims and objectives:…
Descriptors: Knowledge Management, Predictor Variables, Educational Research, Research Utilization
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Aydin, Burak; Algina, James – Journal of Experimental Education, 2022
Decomposing variables into between and within components are often required in multilevel analysis. This method of decomposition should not ignore possible unreliability of an observed group mean (i.e., arithmetic mean) that is due to small cluster sizes and can lead to substantially biased estimates. Adjustment procedures that allow unbiased…
Descriptors: Hierarchical Linear Modeling, Prediction, Research Methodology, Educational Research
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Köhler, Carmen; Hartig, Johannes; Naumann, Alexander – Educational Psychology Review, 2021
The article focuses on estimating effects in nonrandomized studies with two outcome measurement occasions and one predictor variable. Given such a design, the analysis approach can be to include the measurement at the previous time point as a predictor in the regression model (ANCOVA), or to predict the change-score of the outcome variable…
Descriptors: Research Design, Statistical Analysis, Educational Research, Computation
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Suping Yi; Rustam Shadiev; Yanyan Zhang – Interactive Learning Environments, 2024
This study reviewed thirty-seven articles on intercultural learning supported by technology. The results are reported in terms of strength of evidence and relationship among research variables. The results indicated the following strength of evidence: (1) moderate evidence showed higher frequency of the technology usage in higher education or…
Descriptors: Literature Reviews, Multicultural Education, Technology Uses in Education, Predictor Variables
Paul T. von Hippel; Brendan A. Schuetze – Annenberg Institute for School Reform at Brown University, 2025
Researchers across many fields have called for greater attention to heterogeneity of treatment effects--shifting focus from the average effect to variation in effects between different treatments, studies, or subgroups. True heterogeneity is important, but many reports of heterogeneity have proved to be false, non-replicable, or exaggerated. In…
Descriptors: Educational Research, Replication (Evaluation), Generalizability Theory, Inferences
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Al-Maroof, Rana; Al-Qaysi, Noor; Salloum, Said A.; Al-Emran, Mostafa – Technology, Knowledge and Learning, 2022
Examining the blended learning (b-learning) acceptance is not a new research topic, and it has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) models that are used to study the acceptance of b-learning is regarded as a topic of great importance. To examine these models and afford scholars a holistic view of…
Descriptors: Blended Learning, Information Systems, Models, Holistic Approach
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Hastie, Peter A.; Stringfellow, Andy; Johnson, Jerraco L.; Dixon, Cory E.; Hollett, Nikki; Ward, Kurt – Physical Education and Sport Pedagogy, 2022
Background: The concept of engagement is a multidimensional construct that has long been used by researchers as a means of explaining student behaviour in classrooms and schools. However, the research using this construct within physical education has been particularly uneven. Purpose: The goal of this paper was to examine the application of the…
Descriptors: Student Participation, Physical Education, Learner Engagement, Educational Research
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Yunusa, Abdullahi Abubakar; Umar, Irfan Naufal – Education and Information Technologies, 2021
Over the past few decades, e-Learning has been implemented to account for the challenges of twenty-first-century learning propelled by the spread of the internet and the use of internet-based technologies. These dynamic changes informed research interests in the academia, from awareness and adoption studies, researchers are now focused on…
Descriptors: Predictor Variables, Electronic Learning, Student Satisfaction, Outcomes of Education
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Silva-Lugo, Jose L.; Warner, Laura A.; Galindo, Sebastian – Journal of Agricultural Education and Extension, 2022
Purpose: A literature research conducted in education and agricultural education journals published during a period of 10 years revealed that 98% of the studies used parametric analyses. In general, model assumptions were not tested, and statistical criteria were not followed to apply the parametric approach. The objective of this paper is to…
Descriptors: Agricultural Education, Nonparametric Statistics, Educational Research, Models
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Akpur, Ugur – International Journal of Educational Methodology, 2020
The aim of the present study is to examine the effect level of procrastination on academic achievement. To this end, a meta-analytic approach was applied and the studies published between January 2000 and May 2020 in Education Resources Information Center (ERIC) and Academic Search Ultimate databases were included in the study. The research was…
Descriptors: Time Management, Academic Achievement, Correlation, Predictor Variables
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Nauzeer, Salim; Jaunky, Vishal Chandr – Pedagogical Research, 2021
Domains of motivation, learning and personality traits (MLP) have emerged as vital constructs in studies of academic performance. Although there are abundant studies on the relationships of the three aforementioned dimensions on performance, no systematic synthesis of the empirical literature has been done regarding how three determinants jointly…
Descriptors: Student Motivation, Personality Traits, Learning Processes, Academic Achievement
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Mejía-Rodríguez, Ana María; Kyriakides, Leonidas – School Effectiveness and School Improvement, 2023
To explore the wider educational environment included in the dynamic model of educational effectiveness, this paper reexamines the association between student achievement and two national culture dimensions: Monumentalism-Flexibility and Collectivism-Individualism. Using Programme for International Student Assessment (PISA) 2018 data of 317,127…
Descriptors: Secondary School Students, Achievement Tests, Foreign Countries, International Assessment
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Flunger, Barbara; Trautwein, Ulrich; Nagengast, Benjamin; Lüdtke, Oliver; Niggli, Alois; Schnyder, Inge – Journal of Experimental Education, 2021
The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and…
Descriptors: Foreign Countries, Middle School Students, Grade 8, Multivariate Analysis
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