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MetaLab: Paving the way for easy-to-use, dynamic, crowdsourced meta-analyses
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Aggregating data across studies is a central challenge in ensuring cumulative, reproducible science. Meta-analysis is a key statistical tool for this purpose. The goal of this project is to support meta-analysis using MetaLab, an interface and central repository. Our user-friendly, online platform supports collaborative hosting and creation of dynamic meta-analyses, based entirely on open tools. M…
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Promoting replicability in developmental research through meta-analyses: Insights from language acquisition research
Previous work suggests key factors for replicability, a necessary feature for theory building, include statistical power and appropriate research plan...
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