Status: COMPLETE
Contact: Krista Byers-Heinlein
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38 authors from 11 countries on Advances in Methods and Practices in Psychological Science publication
In this project we used the diversity of bilingual infant experiences to explore the impact of different types of linguistic experience on infants’ Infant Directed Speech (IDS) preference over Adult Directed Speech (ADS). We compared lab-matched samples of 333 bilingual and 384 monolingual infants’ preference for North-American English IDS, tested in 17 labs in 7 countries. Those infants were tested in two age groups: 6–9 months and 12–15 months.
We found that bilingual and monolingual infants preferred IDS to ADS, and did not differ in terms of the overall magnitude of this preference (Figure 1). However, amongst bilingual infants who were acquiring North-American English (NAE) as a native language, greater exposure to NAE was associated with a stronger IDS preference, extending the previous finding from MB1 that monolinguals learning NAE as a native language showed a stronger preference than infants unexposed to NAE.
Together, our findings indicate that IDS preference likely makes a similar contribution to monolingual and bilingual development, and that infants are exquisitely sensitive to the nature and frequency of different types of language input in their early environments.
Figure 1. Forest plot for the lab-matched data set, separated by age group. Standardized effect sizes are shown for each lab; error bars show 95% confidence intervals. Each lab reported two effect sizes: one for the monolingual group and the other one for the bilingual group. The plotted points are scaled by inverse variance (i.e., more precise estimates are denoted by larger shapes). Within each age group, labs are ordered by the difference between the monolingual and bilingual effect sizes, and this effect-size difference is indicated by a black X. The bottom row shows the global meta-analytic estimate. Reproduced from Byers-Heinlein et al., 2021 (©, The Authors).
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- Data and code: MB1B-GitHub
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Project Leads
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Krista Byers-Heinlein, Concordia University
[email]
MB1B Contributors
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Publications
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Angeline Sin Mei Tsui
Christina Bergmann
Alexis K. Black
Anna Brown
Maria Julia Carbajal
Samantha Durrant
Christopher Fennell
Anne-Caroline Fiévet
Michael C. Frank
Anja Gampe
Judit Gervain
Nayeli Gonzalez-Gomez
J. Kiley Hamlin
Naomi Havron
Mikołaj Hernik
Shila Kerr
Hilary Killam
Kelsey Klassen
Jessica E. Kosie
Ágnes Melinda Kovács
Casey Lew-Williams
Liquan Liu
Nivedita Mani
Caterina Marino
Meghan Mastroberardino
Victoria Mateu
Claire Noble
Adriel John Orena
Linda Polka
Christine E. Potter
Melanie S. Schreiner
Leher Singh
Melanie Soderstrom
Megha Sundara
Connor Waddell
Janet F. Werker
Stephanie Wermelinger