The three‐dimensional community structure of attention‐deficit hyperactivity disorder (ADHD) traits captured by the Adult ADHD Self‐Report Scale: An exploratory graph analysis

Abstract

Abstract Objective To employ a novel analytic method—namely, exploratory graph analysis (EGA)—to subclinical attention‐deficit hyperactivity disorder (ADHD) trait scores in order to reveal their dimensional structure, as well as compare EGA's performance with traditional factor‐analytic techniques in doing so. Method 1149 respondents from a survey panel completed the ASRS, a common ADHD scale made up of 18 distinct trait measures. EGA and factor analysis were applied to identify traits which associate with each other. Results EGA revealed 3 distinct communities, and ruled out a 2‐community structure. This was in contrast to the 2‐factor structure suggested by the factor analysis, and the conventional division of ADHD into two subdimensions (hyperactivity and inattention). Conclusion A dimensional structure of three clusters (hyperactivity, impulsivity and inattention) may better reflect the traits underlying ADHD. EGA has benefits in terms of both analytic approach and interpretability of findings.

Keywords

• ADHD
• attention deficit hyperactivity disorder
• EGA
• exploratory graph analysis
• factor analysis
• network analysis