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Multisource Longitudinal Network and Latent Variable Model Analyses of ADHD Symptoms in Children.

Jonathan PreszlerG Leonard BurnsStephen P BeckerMateu Servera
Published in: Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53 (2020)
Longitudinal networks provided several useful insights for ADHD, including centrality symptoms that differed across between- and within-child levels. However, many findings were also largely consistent with the LVM analyses. Future studies should use novel methods (e.g., intensive longitudinal measurement) and analytic tools to determine if more unique theoretical and clinical findings emerge when applying network analysis to longitudinally measured ADHD symptoms.
Keyphrases
  • attention deficit hyperactivity disorder
  • network analysis
  • autism spectrum disorder
  • working memory
  • cross sectional
  • sleep quality
  • young adults
  • mental health
  • case control