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Participate in The Sibling Snapshot Project! <!-- [if gte mso 9]> <![endif]--> <!-- [if gte mso 9]> Normal 0 false false false EN-AU X-NONE X-NONE <!
Be involved in the Sibling Snapshot Project! Researchers from The Kids Research Institute Australia are conducting research which explores the unique
Join a Focus Group for the Sibling Support Study! Researchers from The Kids Research Institute Australia are conducting research which explores the
In 2024–2025, we listened to 40 siblings from across Australia share their experiences of family life and social connection. Most had a brother or sister with developmental disability, and others did not. Together, they offered open and thoughtful reflections on roles and responsibilities at home, friendships, fam
The growing global prevalence of autism spectrum disorder is associated with increasing costs for support services. Ascertaining the effects of a successful preemptive intervention for infants showing early behavioral signs of autism on human services budgets is highly policy relevant.
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.
Recent studies have reported that strengths-based programs, leveraging autistic adolescents' abilities and interests, could improve their skills and facilitate social engagement. However, little is known about the long-term impact of strengths-based approaches. This study aimed to explore the long-term outcomes of community strengths-based programs designed to support autistic adolescents in developing interests and skills in Science, Technology, Engineering, Arts, and Mathematics (STEAM) and the factors influencing their participation in these programs.
Our previous cross-sectional investigation (Chetcuti et al., 2020) showed that infants with autism traits could be divided into distinct subgroups based on temperament. This longitudinal study builds on this existing work by exploring the continuity of temperament subgroup classifications and their associations with behavioral/clinical phenotypic features from infancy to toddlerhood.