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Céline Chapelle; Gwénaël Le Teuff; Paul Jacques Zufferey; Silvy Laporte; Edouard Ollier – Research Synthesis Methods, 2024
The number of meta-analyses of aggregate data has dramatically increased due to the facility of obtaining data from publications and the development of free, easy-to-use, and specialised statistical software. Even when meta-analyses include the same studies, their results may vary owing to different methodological choices. Assessment of the…
Descriptors: Meta Analysis, Replication (Evaluation), Data Analysis, Statistical Analysis
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Maxi Schulz; Malte Kramer; Oliver Kuss; Tim Mathes – Research Synthesis Methods, 2024
In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing…
Descriptors: Meta Analysis, Data Analysis, Research Methodology, Research Problems
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Lee, Jihyun; Beretvas, S. Natasha – Research Synthesis Methods, 2023
Meta-analysts often encounter missing covariate values when estimating meta-regression models. In practice, ad hoc approaches involving data deletion have been widely used. The current study investigates the performance of different methods for handling missing covariates in meta-regression, including complete-case analysis (CCA), shifting-case…
Descriptors: Comparative Analysis, Research Methodology, Regression (Statistics), Meta Analysis
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Lennert J. Groot; Kees-Jan Kan; Suzanne Jak – Research Synthesis Methods, 2024
Researchers may have at their disposal the raw data of the studies they wish to meta-analyze. The goal of this study is to identify, illustrate, and compare a range of possible analysis options for researchers to whom raw data are available, wanting to fit a structural equation model (SEM) to these data. This study illustrates techniques that…
Descriptors: Meta Analysis, Structural Equation Models, Research Methodology, Data Analysis
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Mahendra Prasad Pandey – Discover Education, 2025
Comparative education is advancing with a growing emphasis on innovative research methodologies; however, integrating these approaches to address complex global education challenges remains difficult. While traditional qualitative methods are valuable, they often fail to capture the multifaceted nature of today's educational landscape. This review…
Descriptors: Innovation, Research Methodology, Educational Research, Educational Trends
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Lauren Maxwell; Priya Shreedhar; Mabel Carabali; Brooke Levis – Research Synthesis Methods, 2024
Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the joint consideration of study- and participant-level heterogeneity for improved diagnostic and prognostic model development and evaluation. However,…
Descriptors: Research Methodology, Authors, Guides, Budgets
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Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
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Korkmaz, Elif; Morali, Hasibe Sevgi – International Electronic Journal of Mathematics Education, 2022
Augmented reality (AR) helps three dimensional, virtual objects to be viewed, interactively, in a real-world setting. AR technology is used in many fields such as medicine, advertisement, military, industry, and increasingly in education. AR has an importantrole in concretizing educational platforms and achieving permanentlearning. This study aims…
Descriptors: Meta Analysis, Computer Simulation, Electronic Learning, Mathematics Education
Declercq, Lies; Jamshidi, Laleh; Fernández-Castilla, Belen; Moeyaert, Mariola; Natasha, Beretvas S.; Ferron, John M.; Van den Noortgate, Wim – Grantee Submission, 2020
To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a multilevel model is estimated based on the raw data. In the two-stage approach, an effect size is calculated for each participant and these effect…
Descriptors: Research Design, Data Analysis, Effect Size, Models
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IJzendoorn, Marinus H. – New Directions for Child and Adolescent Development, 2019
Randomized controlled trials are a special case of designs using an unbiased instrument to take care of confounders even if they are unmeasured or unknown. Another example of studies using instrumental variables is the Mendelian experiment and Directed Acyclic Graphs show the power of such designs to enhance the internal validity. It is argued…
Descriptors: Research Methodology, Randomized Controlled Trials, Researchers, Participatory Research
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Cooper, Harris, Ed.; Hedges, Larry V., Ed.; Valentine, Jeffrey C., Ed. – Russell Sage Foundation, 2019
Research synthesis is the practice of systematically distilling and integrating data from many studies in order to draw more reliable conclusions about a given research issue. When the first edition of "The Handbook of Research Synthesis and Meta-Analysis" was published in 1994, it quickly became the definitive reference for conducting…
Descriptors: Research Methodology, Synthesis, Meta Analysis, Data Analysis
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Spineli, Loukia M.; Pandis, Nikolaos; Salanti, Georgia – Research Synthesis Methods, 2015
Objectives: The purpose of the study was to provide empirical evidence about the reporting of methodology to address missing outcome data and the acknowledgement of their impact in Cochrane systematic reviews in the mental health field. Methods: Systematic reviews published in the Cochrane Database of Systematic Reviews after January 1, 2009 by…
Descriptors: Mental Health, Literature Reviews, Data Analysis, Meta Analysis
Marie-Louise Mares; Zhongdang Pan – Sage Research Methods Cases, 2016
Staff members at Sesame Workshop asked us to conduct a meta-analysis of their proprietary evaluation research on the effects of viewing international versions of "Sesame Street." Given global crises in early childhood education, and given the wide reach of "Sesame Street," it was of considerable interest to us whether there…
Descriptors: Meta Analysis, Children, Educational Television, Case Studies
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Kozikoglu, Ishak – Cypriot Journal of Educational Sciences, 2017
The purpose of this research is to analyze the studies concerning challenges faced by novice teachers in terms of various aspects and compare challenges according to location of the studies conducted in Turkey and abroad. A total of 30 research studies were included in detailed analysis. This is a descriptive study based on qualitative research…
Descriptors: Content Analysis, Beginning Teachers, Barriers, Educational Research
Steenbergen-Hu, Saiying; Olszewski-Kubilius, Paula – Gifted Child Quarterly, 2016
This methodological brief introduces basic procedures and issues for conducting a high-quality meta-analysis in gifted education. Specifically, we discuss issues such as how to select a topic and formulate research problems, search for and identify qualified studies, code studies and extract data, choose and calculate effect sizes, analyze data,…
Descriptors: Meta Analysis, Academically Gifted, Research Methodology, Research Problems
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