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Lookup NU author(s): Professor James LawORCiD,
Professor Sheena Reilly
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Wiley-Blackwell Publishing, Inc., 2018.
For re-use rights please refer to the publisher's terms and conditions.
Oral language development is a key outcome of elementary school, and it is important to identify factors thatpredict it most effectively. Commonly researchers use ordinary least squares regression with conclusionrestricted to average performance conditional on relevant covariates. Quantile regression offers a more sophisticatedalternative. Using data of 17,687 children from the United Kingdom’s Millennium Cohort Study, wecompared ordinary least squares and quantile models with language development (verbal similarities) at11 years as the outcome. Gender had more of an effect at the top of the distribution, while poverty, early language,and reading to the child had a greater effect at the bottom. The picture for TV watching was moremixed. The results are discussed in terms of the provision of universal and targeted interventions.
Author(s): Law J, Rush R, King T, Westrupp E, Reilly S
Publication type: Article
Publication status: Published
Journal: Child Development
Print publication date: 01/01/2018
Online publication date: 23/02/2017
Acceptance date: 28/06/2016
Date deposited: 09/03/2017
ISSN (print): 0009-3920
ISSN (electronic): 1467-8624
Publisher: Wiley-Blackwell Publishing, Inc.
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