Affiliation:
1. Language and Communication Science City University of London London UK
Abstract
Finding early predictors of later language skills and difficulties is fraught with challenges because of the wide developmental variation in language. Gasparini et al. (Journal of Child Psychology and Psychiatry, 2023) aimed to address this issue by applying machine learning methods to parent reports taken from a large longitudinal database (Early Language in Victoria Study). Using this approach, they identify two short, straightforward item sets, taken at 24 and 36 months, that can adequately predict language difficulties when children are 11 years of age. Their work represents an exciting step towards earlier recognition and support for children with Developmental Language Disorder. This commentary highlights the advantages and challenges of identifying early predictors of language in this way, and discusses future directions that can build on this important contribution.
Subject
Psychiatry and Mental health,Developmental and Educational Psychology,Pediatrics, Perinatology and Child Health