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Nikolaos Nikoloudakis; Maria Rangoussi – International Journal of Sustainability in Higher Education, 2025
Purpose: This paper aims to investigate the e-waste aspect of sustainability in education, with a specific interest in engineering education. Specifically, it focuses on recycling through reclaiming electronic components from e-waste and reusing them in repairs or in the design and construction of new devices. Design/methodology/approach: A…
Descriptors: Literature Reviews, Meta Analysis, Sustainability, Recycling
Yingxiu Li; Xiang Wang; Junjun Chen; John Chi-Kin Lee; Zi Yan; Jian-Bin Li – Educational Psychology Review, 2024
This meta-analytical review aims to investigate the overall effect of comprehensive interventions on teacher well-being and the factors that moderate the effect by synthesizing empirical evidence. A total number of 176 effect sizes from 44 studies were included in this study. The results reported the mean effect size of intervention on teacher…
Descriptors: Literature Reviews, Meta Analysis, Intervention, Teacher Welfare
Matthew Forte; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2024
Background/Context: Over the past twenty plus years, the What Works Clearinghouse (WWC) has reviewed over 1,700 studies, cataloging effect sizes for 189 interventions. Some 56% of these interventions include results from multiple, independent studies; on average, these include results of [approximately]3 studies, though some include as many as 32…
Descriptors: Meta Analysis, Sampling, Effect Size, Models
Kathleen B. Aspiranti; Jennifer L. Reynolds; Erin E. C. Henze; Paulina Grekov; Julie C. Martinez – Education and Treatment of Children, 2024
Word boxes (also known as sound boxes or Elkonin boxes) is a widely used intervention targeting basic literacy skills. The word/sound box intervention has been implemented across grades, settings, and student ability levels, but to date there has not been a quantitative analysis of the effects of the word/sound box intervention. The purpose of the…
Descriptors: Literature Reviews, Meta Analysis, Literacy, Literacy Education
Kollin W. Rott; Gert Bronfort; Haitao Chu; Jared D. Huling; Brent Leininger; Mohammad Hassan Murad; Zhen Wang; James S. Hodges – Research Synthesis Methods, 2024
Meta-analysis is commonly used to combine results from multiple clinical trials, but traditional meta-analysis methods do not refer explicitly to a population of individuals to whom the results apply and it is not clear how to use their results to assess a treatment's effect for a population of interest. We describe recently-introduced causally…
Descriptors: Meta Analysis, Causal Models, Outcomes of Treatment, Medical Research
Hans-Peter Piepho; Laurence V. Madden; Emlyn R. Williams – Research Synthesis Methods, 2024
Methods of network meta-analysis (NMA) can be classified as arm-based and contrast-based approaches. There are several arm-based approaches, and some of these have been criticized because they recover inter-study information and hence do not obey the principle of concurrent control. Here, we point out that recovery of inter-study information in…
Descriptors: Meta Analysis, Models, Methods, Data Collection
Stephan B. Bruns; Teshome K. Deressa; T. D. Stanley; Chris Doucouliagos; John P. A. Ioannidis – Research Synthesis Methods, 2024
Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows us to estimate how many p-values are published as being statistically significant when they should have been…
Descriptors: Meta Analysis, Research Reports, Research Design, Microeconomics
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Journal of Educational and Behavioral Statistics, 2025
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
Li, Hua; Shih, Ming-Chieh; Song, Cheng-Jie; Tu, Yu-Kang – Research Synthesis Methods, 2023
Network meta-analysis combines direct and indirect evidence to compare multiple treatments. As direct evidence for one treatment contrast may be indirect evidence for other treatment contrasts, biases in the direct evidence for one treatment contrast may affect not only the estimate for this particular treatment contrast but also estimates of…
Descriptors: Network Analysis, Meta Analysis, Bias, Evidence
Schmid, Matthias; Friede, Tim; Klein, Nadja; Weinhold, Leonie – Research Synthesis Methods, 2023
Recent years have seen the development of many novel scoring tools for disease prognosis and prediction. To become accepted for use in clinical applications, these tools have to be validated on external data. In practice, validation is often hampered by logistical issues, resulting in multiple small-sized validation studies. It is therefore…
Descriptors: Probability, Meta Analysis, Time, Test Validity
Süreyya Yörük; Sedat Sen – Creativity Research Journal, 2023
The Creative Achievement Questionnaire (CAQ) is widely used to measure the creative achievement levels of individuals. Previous studies reported a varying range of reliability coefficients for the CAQ. To this date, no study has investigated the variability in the reliability coefficients of the CAQ. A random-effects reliability generalization…
Descriptors: Reliability, Generalization, Meta Analysis, Creativity
James Pustejovsky; Jingru Zhang; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2023
Background/Context: In meta-analyses examining educational interventions, researchers seek to understand the distribution of intervention impacts, in order to draw generalizations about what works, for whom, and under what conditions. One common way to examine equity implications in such reviews is through moderator analysis, which involves…
Descriptors: Meta Analysis, Effect Size, Statistics, Regression (Statistics)
David Pérez-Castejón; María Begoña Vigo-Arrazola – European Journal of Teacher Education, 2024
Changing attitudes and perceptions allied to the values of diversity and inclusive education is a recognised challenge in ITE (Initial Teacher Education). Using meta-ethnographic methods, this article aims to describe how preservice teachers' attitudes or perceptions towards inclusive education can be developed during ITE. The results show the…
Descriptors: Inclusion, Preservice Teachers, Teacher Attitudes, Meta Analysis
Maya B. Mathur – Research Synthesis Methods, 2024
Meta-analyses can be compromised by studies' internal biases (e.g., confounding in nonrandomized studies) as well as publication bias. These biases often operate nonadditively: publication bias that favors significant, positive results selects indirectly for studies with more internal bias. We propose sensitivity analyses that address two…
Descriptors: Meta Analysis, Attribution Theory, Publications, Bias
Shan Zhang; Chris Palaguachi; Marcin Pitera; Chris Davis Jaldi; Noah L. Schroeder; Anthony F. Botelho; Jessica R. Gladstone – Educational Psychology Review, 2024
Systematic reviews are a time-consuming yet effective approach to understanding research trends. While researchers have investigated how to speed up the process of screening studies for potential inclusion, few have focused on to what extent we can use algorithms to extract data instead of human coders. In this study, we explore to what extent…
Descriptors: Bibliometrics, Meta Analysis, Research Methodology, Evaluation Methods