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

Christina Bergmann Sho Tsuji Molly Lewis Mika Braginsky Page Piccinini Alejandrina Cristia Michael C. Frank

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. MetaLab supports collaborative hosting and the creation of dynamic meta-analyses based entirely on open tools. The platform is supported by a community of researchers and students who can become creators, curators, contributors, and/or users of meta-analyses. Currently, MetaLab only hosts meta-analyses in Early Language and Cognitive Development, however, extensions to other subfields of the social sciences are possible.

Publications associated with this project:

  • Bergmann, C., Tsuji, S., Piccinini, P. E., Lewis, M. L., Braginsky, M., Frank, M. C., & Cristia, A. (2018). Promoting Replicability in Developmental Research Through Meta-analyses: Insights From Language Acquisition Research. Child Development89(6), 1996–2009. https://doi.org/10.1111/cdev.13079