MetaLab is a growing database of meta-analyses, shared in a github repository and via an interactive website. This website contains interactive tools for community-augmented meta-analyses, power analyses, and experimental planning. It currently contains a dozen meta-analyses spanning a number of phenomena in early language acquisition research, including infants’ vowel discrimination, acoustic wordform segmentation, and distributional learning in the laboratory. During the Show and Tell, we will demonstrate how to use the online visualization tools, download data, and re-use our analysis scripts for other research purposes. We expect MetaLab data to be particularly useful to researchers interested in early speech perception. Additionally, the infrastructure and tools can be adopted by speech scientists seeking to perform and utilize (meta-)meta-analyses in other fields.
Cite as: Tsuji, S., Bergmann, C., Lewis, M., Braginsky, M., Piccinini, P., Frank, M.C., Cristia, A. (2017) MetaLab: A Repository for Meta-Analyses on Language Development, and More. Proc. Interspeech 2017, 2038-2039
@inproceedings{tsuji17_interspeech,
author={Sho Tsuji and Christina Bergmann and Molly Lewis and Mika Braginsky and Page Piccinini and Michael C. Frank and Alejandrina Cristia},
title={{MetaLab: A Repository for Meta-Analyses on Language Development, and More}},
year=2017,
booktitle={Proc. Interspeech 2017},
pages={2038--2039}
}