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The Life Course Centre is a national centre funded by the Australian Research Council Centre of Excellence Scheme and hosted through the University of Queensland with collaborating nodes at the University of Western Australia, Sydney University and University of Melbourne.
Children and adolescents with Intellectual Disability experience a worse Quality-of-Life (QoL) relative to typically developing peers. Thus, QoL evaluation is important for identifying support needs and improving rehabilitation effectiveness. Nevertheless, currently in Italy there are not tools with this scope. This study aims to translate and cross-culturally adapt the Quality-of-Life Inventory-Disability into Italian.
Natural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.
Fiona Pete Stanley Azzopardi FAA FASSA MSc MD FFPHM FAFPHM FRACP FRANZCOG HonDSc HonDUniv HonFRACGP HonMD HonFRCPCH HonLLB (honoris causa) PhD, FRACP
The aim of this research note is to encourage child language researchers and clinicians to give careful consideration to the use of domain-specific tests as a proxy for language; particularly in the context of large-scale studies and for the identification of language disorder in clinical practice.
The majority of children acquire language effortlessly but approximately 10% of all children find it difficult especially in the early or preschool years with consequences for many aspects of their subsequent development and experience: literacy, social skills, educational qualifications, mental health and employment.
This study sought to determine the prevalence of Developmental Language Disorder (DLD) in Australian school-aged children and associated potential risk factors for DLD at 10 years.
Maltreated children are at high risk for low educational achievement, however few studies have accounted for confounding risk factors that commonly co-occur (including child, family and neighbourhood risk factors) and results have been mixed, particularly for adolescents.
Nonverbal IQ is not on the same causal pathway as language impairments
The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood