Project Overview
- Status:
Complete
Meta-analyses are often considered to be the most reliable source of information when it comes to deciding whether a phenomenon is real, and how strong the effect is. However, large-scale collaborations, such as ManyBabies, often yield different results than published meta-analyses. To better understand how the two ways to collect and analyze large datasets are related (or not), we update the meta-analysis on infant-directed speech preference and subject it to a joint analysis.
Project Leads
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Martin Zettersten, University of California, San Diego
[email]
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Christopher M. M. Cox, Aarhus University [email]
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Christina Bergmann, University of Applied Sciences, Osnabrück [email]
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Maya B. Mathur, Stanford University [email]
Links
Contributors
list coming soon!
Publication
Zettersten, M.*, Cox, C. M. M.*, Bergmann, C.*, Tsui, A. S. M., Soderstrom, M., Mayor, J., Lundwall, R. A., Lewis, M., Kosie, J. E., Kartushina, N., Fusaroli, R., Frank, M. C., Byers-Heinlein, K., Black, A. K., & Mathur, M. B. (2024). Evidence for infant-directed speech preference is consistent across large-scale, multi-site replication and meta-analysis. Open Mind: Discoveries in Cognitive Science, 8(), 439–461. https://doi.org/10.1162/opmi_a_00134
View full author list
Martin Zettersten
Christopher M. M. Cox
Christina Bergmann
Angeline Sin Mei Tsui
Melanie Soderstrom
Julien Mayor
Rebecca A. Lundwall
Molly Lewis
Jessica E. Kosie
Natalia Kartushina
Riccardo Fusaroli
Michael C. Frank
Krista Byers-Heinlein
Alexis K. Black
Maya B. Mathur
Christopher M. M. Cox
Christina Bergmann
Angeline Sin Mei Tsui
Melanie Soderstrom
Julien Mayor
Rebecca A. Lundwall
Molly Lewis
Jessica E. Kosie
Natalia Kartushina
Riccardo Fusaroli
Michael C. Frank
Krista Byers-Heinlein
Alexis K. Black
Maya B. Mathur