General and specific attention-deficit/hyperactivity disorder factors of children 4 to 6 years of age: An exploratory structural equation modeling approach to assessing symptom multidimensionality

J Abnorm Psychol. 2016 Jan;125(1):125-137. doi: 10.1037/abn0000115.

Abstract

We tested first-order factor and bifactor models of attention-deficit/hyperactivity disorder (ADHD) using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) to adequately summarize the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, (DSM-IV-TR) symptoms observed in a Spanish sample of preschoolers and kindergarteners. Six ESEM and CFA models were estimated based on teacher evaluations of the behavior of 638 children 4 to 6 years of age. An ESEM bifactor model with a central dimension plus 3 specific factors (inattention, hyperactivity, and impulsivity) showed the best fit and interpretability. Strict invariance between the sexes was observed. The bifactor model provided a solution to previously encountered inconsistencies in the factorial models of ADHD in young children. However, the low reliability of the specific factors casts doubt on the utility of the subscales for ADHD measurement. More research is necessary to clarify the nature of G and S factors of ADHD.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attention / physiology*
  • Attention Deficit Disorder with Hyperactivity / diagnosis*
  • Attention Deficit Disorder with Hyperactivity / psychology
  • Child
  • Child, Preschool
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Hyperkinesis / psychology*
  • Impulsive Behavior / physiology*
  • Male
  • Models, Psychological*
  • Psychometrics
  • Reproducibility of Results
  • Symptom Assessment / methods