Joanne Cotton MPhil, MBPsS
I recently developed a robust method to measure DSM-5 Attention Deficit Hyperactivity Disorder (ADHD) symptomatology in an existing longitudinal dataset, using a data mining approach and Item Response Theory (IRT) mixture modelling. I am now working on an analysis of factors that lead to optimal adult outcomes. The research was inspired largely by a recent review reporting that 50%+ of childhood ADHD cases function well as adults (Costello & Maughan, 2015). The theoretical foundation is derived from Sanders' model of stress and human performance (1983), and influenced by Panksepp's writing on affective neuroscience, ADHD and play (2007, 2012). Analyses will be based on Structural Equation Models (SEM) built using Mplus and Stata. My long-term objective is to use findings to influence educational policy in a way that will facilitate optimal adult outcomes for children with ADHD. My research is funded by an ESRC Advanced Quantitative Methods studentship.
Cross-sectional and cohort studies
Associated News Items
Cotton J, Baker ST, Wilson J (in press), “An exploratory case study of three children with ADHD and social difficulties: Child and parent responses to an educational intervention designed to facilitate self-regulation and deep learning” Psychology of Education Review