Predictive Strength of Auditory Maturity Across Different Levels of Language Ability

An Exploratory Quantile Regression Study

Bibliographic Data

ID9685950
AuthorsTheresa Pham (0000-0002-3368-8767, School of Communication Sciences and Disorders University of Western Ontario London Ontario Canada, corresponding author), Alyssa Janes (0000-0003-4840-2095, School of Communication Sciences and Disorders University of Western Ontario London Ontario Canada), Elaine Kwok (0000-0002-4893-2574, School of Communication Sciences and Disorders University of Western Ontario London Ontario Canada), Janis Oram Cardy (0000-0002-7170-6145, School of Communication Sciences and Disorders University of Western Ontario London Ontario Canada)
Year2025
Volume67
Issue1
Pagese70013-e70013
Publication date2025-01-01
Open AccessYes
TypeARTICLE
VenueDevelopmental Psychobiology (JOURNAL)
Journal identifiersISSN: 0012-1630 • E-ISSN: 1098-2302
PublisherWiley (PUBLISHER • GB)
DOI10.1002/dev.70013
PMID39648285
OpenAlexW4405157184
LanguageEN
References cited43

Auditory evoked potential‐age (AEP‐age) is proposed to index auditory maturation and has been found to predict language skills in children with and without a language disorder. However, reporting average effects using linear regression does not fully capitalize on the potential of AEP‐age to estimate individual differences in young children. This study used a quantile regression approach to examine the predictive utility of AEP‐age for 105 typical and neurodiverse 7–10‐year‐old children (61 males; 44 females; largely monolingual English) with varying language skills without creating subgroups. Although linear regression did not find an association between AEP‐age and language skills, the quantile model added specificity by revealing differential associations. AEP‐age was only related to language skills for children at around the median point of the language continuum, but, not for those at the lowest or highest end of the language distribution. Overall, the quantile regression methodology provides us with the flexibility of understanding how AEP‐age is related to different language abilities

Audiology · Developmental psychology · Linear regression · Quantile · Quantile regression · Regression · Regression analysis · Statistics · Hearing Loss and Rehabilitation · Hearing, Cochlea, Tinnitus, Genetics · Mathematics · Medicine · Neuroscience and Music Perception · Psychology

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