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Promoting replicability in developmental research through meta-analyses: Insights from language acquisition research

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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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To reproduce the manuscript, download all the files, then put them inside the same folder, with those in the "analyses" component in a subfolder called "analysis". (Thus, there will be files at two levels.) Double-click on the ReplicableDevelopmentalResearch.Rmd file to launch RStudio. Next, you need to decide whether you want to recalculate everything from scratch or not. To recalculate from scr...

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