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Download full textGamon Savatsomboon; Prasert Ruannakarn; Phamornpun Yurayat; Ong-art Chanprasitchai; Jibon Kumar Sharma Leihaothabam – European Journal of Psychology and Educational Research, 2024
Using R to conduct univariate meta-analyses is becoming common for publication. However, R can also conduct multivariate meta-analysis (MMA). However, newcomers to both R and MMA may find using R to conduct MMA daunting. Given that, R may not be easy for those unfamiliar with coding. Likewise, MMA is a topic of advanced statistics. Thus, it may be…
Descriptors: Educational Psychology, Multivariate Analysis, Evaluation Methods, Data Processing
Direct linkWeissgerber, Sophia C.; Brunmair, Matthias; Rummer, Ralf – Educational Psychology Review, 2021
In the 2018 meta-analysis of "Educational Psychology Review" entitled "Null effects of perceptual disfluency on learning outcomes in a text-based educational context" by Xie, Zhou, and Liu, we identify some errors and inconsistencies in both the methodological approach and the reported results regarding coding and effect sizes.…
Descriptors: Meta Analysis, Research Problems, Research Methodology, Coding
Norouzian, Reza – Studies in Second Language Acquisition, 2021
There has recently been a surge of interest in improving the replicability of second language (L2) research. However, less attention is paid to replicability in the context of L2 meta-analyses. I argue that conducting interrater reliability (IRR) analyses is a key step toward improving the replicability of L2 meta-analyses. To that end, I first…
Descriptors: Interrater Reliability, Second Languages, Language Research, Meta Analysis
Nikolakopoulou, Adriani; Mavridis, Dimitris; Chiocchia, Virginia; Papakonstantinou, Theodoros; Furukawa, Toshi A.; Salanti, Georgia – Research Synthesis Methods, 2021
Background: Network meta-analysis (NMA) produces complex outputs as many comparisons between interventions are of interest. The estimated relative treatment effects are usually displayed in a forest plot or in a league table and several ranking metrics are calculated and presented. Methods: In this article, we estimate relative treatment effects…
Descriptors: Networks, Meta Analysis, Intervention, Evaluation Methods
What Works Clearinghouse, 2023
The appendices accompany the full report "Using Bayesian Meta-Analysis to Explore the Components of Early Literacy Interventions. WWC 2023-008," (ED630495), which pilots a new taxonomy developed by early literacy experts and intervention developers as part of a larger effort to develop standard nomenclature for the components of literacy…
Descriptors: Bayesian Statistics, Meta Analysis, Early Intervention, Literacy
