Non Linear Modelling
Targeting core symptoms of Autism Spectrum Disorders (ASD) is a key treatment goal for parents of children with ASD. While many efficacious treatments for ASD have been developed, a major obstacle in evaluating these treatments among children with ASD has been the lack of adequate outcome measures (Anagnostou et al., 2014; Bolte & Diehl, 2013; Kanne et al., 2014). Most treatment studies have relied on informant-based measures (i.e., parent or clinician report) that either place a high burden on families, or require significant training and time to administer. Moreover, measures are often re-purposed from existing measures intended for screening or diagnosis, and do not provide continuous measures of symptoms that are responsive to change. Thus, there is a clear need to develop ASD outcome measures that are reliable, valid, and sensitive to change. In the absence of such outcome measures, our understanding of the efficacy of treatments for ASD will continue to be limited.