Description:
OBJECTIVE: This study used confirmatory factor analysis (CFA), latent class analysis (LCA), and factor mixture model (FMM) to ascertain the best model for ADHD symptoms, as presented in the Strengths and Weaknesses of ADHD-Symptoms and Normal Behavior Scale (SWAN). METHOD: Mother ratings of the ADHD symptoms of 418 clinic-referred children and adolescents were obtained. RESULTS: The findings provided most support for an FMM with two classes (less severe inattention [IA] and hyperactivity/impulsivity [HI] symptoms and more severe IA/HI symptoms) and two factors (IA and HI) model. The more severe class had more individuals with the ADHD diagnosis, especially the combined type. CONCLUSION: The findings are discussed in relation to dimensional and categorical views of ADHD.
Description:
Objective: This study examined the bifactor models of ADHD in three groups: adolescents from the general community (n = 214), adults from the general community (n = 366), and a clinic sample (n = 245). Method: For the adolescent sample, mothers provided ratings of the ADHD symptoms, and their teachers provided ratings for Emotional Symptoms, Conduct Problems, Hyperactivity, Peer Problems, and Prosocial Behavior. For the adult sample, all adults completed self-ratings of the ADHD symptoms and measures for depression, anxiety, and stress. For the clinic-referred sample, mothers provided ratings of the ADHD symptoms, and they were diagnosed for ADHD, Conduct Disorder/Oppositional Defiant Disorder, anxiety disorders, and depression disorders. Results: The findings for all samples supported the bifactor model, and there were differences in the way the general and specific factors correlated with the external variables. Conclusion: The findings support the validity of the bifactor model. (J. of Att. Dis. 2013; XX(X) 1-XX).