2016
DOI: 10.31219/osf.io/jffa5
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Can infants learn phonology in the lab? A meta-analytic answer

Abstract: Two of the key tasks facing the language-learning infant lie at the level of phonology: establishing which sounds are contrastive in the native inventory, and determining what their possible syllabic positions and permissible combinations (phonotactics) are. In 2002-2003, two theoretical proposals, one bearing on how infants can learn sounds (Maye, Werker, & Gerken, 2002) and the other on phonotactics (K. E. Chambers, Onishi, & Fisher, 2003), were put forward on the pages of Cognition, each supported by two la… Show more

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Cited by 1 publication
(3 citation statements)
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“…We would argue that this combination of approaches provides important benefits. Meta‐analyses, like big data approaches, allow conclusions to be evaluated at scales that cannot be reached in typical lab experiments (Bergmann & Cristia, ; Cristia, ; Tsuji, Bergmann, & Cristia, ), while lab experiments complement the meta‐analyses by permitting direct causal tests of their conclusions. Converging evidence of this type should increasingly be part of the researchers’ arsenal given concerns about replicability and statistical power in psychology, and infant research in particular.…”
Section: Resultsmentioning
confidence: 99%
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“…We would argue that this combination of approaches provides important benefits. Meta‐analyses, like big data approaches, allow conclusions to be evaluated at scales that cannot be reached in typical lab experiments (Bergmann & Cristia, ; Cristia, ; Tsuji, Bergmann, & Cristia, ), while lab experiments complement the meta‐analyses by permitting direct causal tests of their conclusions. Converging evidence of this type should increasingly be part of the researchers’ arsenal given concerns about replicability and statistical power in psychology, and infant research in particular.…”
Section: Resultsmentioning
confidence: 99%
“…For the remaining 17 records, we imputed the by‐subject correlation as the mean r , weighted by sample size. The by‐subject correlation was also used to calculate the standard error of each effect size, based on the equation in Cristia (); the standard error is used for weighting observations in meta‐regression analyses.SE=)(2(1r)n+g22n…”
Section: Methodsmentioning
confidence: 99%
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