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MetaLab: Paving the way for easy-to-use, dynamic, crowdsourced meta-analyses  /

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Description: Previous work suggests key factors for replicability, a necessary feature for theory building, include statistical power and appropriate research planning. These factors are examined by analyzing a collection of 12 standardized meta-analyses on language development between birth and 5 years. With a median effect size of Cohen's d = 0.45 and typical sample size of 18 participants, most research is underpowered (range: 6%-99%; median 44%); and calculating power based on seminal publications is not a suitable strategy. Method choice can be improved, as shown in analyses on exclusion rates and effect size as a function of method. The article ends with a discussion on how to increase replicability in both language acquisition studies specifically and developmental research more generally.

License: CC-By Attribution 4.0 International


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