Journal article
Evidence for Infant-directed Speech Preference Is Consistent Across Large-scale, Multi-site Replication and Meta-analysis
Open mind (Cambridge, Mass.), Vol.8, pp.439-461
2024
DOI: 10.1162/opmi_a_00134
PMCID: PMC11045035
PMID: 38665547
Appears in Diamond Open Access
Abstract
There is substantial evidence that infants prefer infant-directed speech (IDS) to adult-directed speech (ADS). The strongest evidence for this claim has come from two large-scale investigations: i) a community-augmented meta-analysis of published behavioral studies and ii) a large-scale multi-lab replication study. In this paper, we aim to improve our understanding of the IDS preference and its boundary conditions by combining and comparing these two data sources across key population and design characteristics of the underlying studies. Our analyses reveal that both the meta-analysis and multi-lab replication show moderate effect sizes (
≈ 0.35 for each estimate) and that both of these effects persist when relevant study-level moderators are added to the models (i.e., experimental methods, infant ages, and native languages). However, while the overall effect size estimates were similar, the two sources diverged in the effects of key moderators: both infant age and experimental method predicted IDS preference in the multi-lab replication study, but showed no effect in the meta-analysis. These results demonstrate that the IDS preference generalizes across a variety of experimental conditions and sampling characteristics, while simultaneously identifying key differences in the empirical picture offered by each source individually and pinpointing areas where substantial uncertainty remains about the influence of theoretically central moderators on IDS preference. Overall, our results show how meta-analyses and multi-lab replications can be used in tandem to understand the robustness and generalizability of developmental phenomena.
Details
- Title: Subtitle
- Evidence for Infant-directed Speech Preference Is Consistent Across Large-scale, Multi-site Replication and Meta-analysis
- Creators
- Martin Zettersten - Princeton UniversityChristopher CoxChristina Bergmann - Hochschule OsnabrückAngeline Sin Mei Tsui - Stanford UniversityMelanie Soderstrom - University of ManitobaJulien Mayor - University of OsloRebecca A Lundwall - Brigham Young UniversityMolly Lewis - Decision SciencesJessica E Kosie - Princeton UniversityNatalia Kartushina - University of OsloRiccardo Fusaroli - Aarhus UniversityMichael C Frank - Stanford UniversityKrista Byers-Heinlein - Concordia UniversityAlexis K Black - University of British ColumbiaMaya B Mathur - Stanford University
- Resource Type
- Journal article
- Publication Details
- Open mind (Cambridge, Mass.), Vol.8, pp.439-461
- DOI
- 10.1162/opmi_a_00134
- PMID
- 38665547
- PMCID
- PMC11045035
- NLM abbreviation
- Open Mind (Camb)
- eISSN
- 2470-2986
- Grant note
- R01 LM013866 / NLM NIH HHS
- Language
- English
- Date published
- 2024
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984631940002771
Metrics
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