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Predicting Individual Variation in Language From Infant Speech Perception Measures
Author(s) -
Cristia Alejandrina,
Seidl Amanda,
Junge Caroline,
Soderstrom Melanie,
Hagoort Peter
Publication year - 2013
Publication title -
child development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.103
H-Index - 257
eISSN - 1467-8624
pISSN - 0009-3920
DOI - 10.1111/cdev.12193
Subject(s) - psychology , variation (astronomy) , vocabulary , perception , perspective (graphical) , variety (cybernetics) , bivariate analysis , speech perception , cognitive psychology , relation (database) , developmental psychology , language development , correlation , scrutiny , linguistics , artificial intelligence , statistics , computer science , philosophy , physics , mathematics , geometry , database , neuroscience , astrophysics , political science , law
There are increasing reports that individual variation in behavioral and neurophysiological measures of infant speech processing predicts later language outcomes, and specifically concurrent or subsequent vocabulary size. If such findings are held up under scrutiny, they could both illuminate theoretical models of language development and contribute to the prediction of communicative disorders. A qualitative, systematic review of this emergent literature illustrated the variety of approaches that have been used and highlighted some conceptual problems regarding the measurements. A quantitative analysis of the same data established that the bivariate relation was significant, with correlations of similar strength to those found for well‐established nonlinguistic predictors of language. Further exploration of infant speech perception predictors, particularly from a methodological perspective, is recommended.