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Promoting replicability in developmental research through meta-analyses: Insights from language acquisition research
Date created: 2017-05-11 03:43 PM | Last Updated: 2022-03-30 05:59 PM
Category: Uncategorized
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.
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 scra…
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