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We also computed two- Thymidine kinase and three- exploratory factor models by forcing the rotations. However, because the eigenvalues were significantly lower than 1 (eigenvalues from 0.487 to 0.502) the multi-factor models were rejected (Kaiser��s criterion). Accordingly, we did not conduct any confirmatory factor analysis with the alternative models, nor did compare them with the single factor model. An additional confirmatory factor analysis with diagonally weighted least squares method (cat-DWLS) was also conducted to verify that each item loaded onto one single component factor. All items converged into one general factor, ADHD concomitant difficulties, with ��2 (65) = 543.36; p single-factor structure1. Correlations and Unique Effects among ADHD-IN, ADHD-HY and ADHD-CDS Total Score We computed Spearman rank correlation coefficients between the ADHD dimensions and the total score. Total score was positive correlated with both ADHD-IN (�� = 0.88; p check details were rather moderate (for ADHD-IN, �� = 0.541; p 0.05). The ADHD-IN scores predicted ADHD-CDS scores for both the clinical sample (�� = 0.50; SE = 0.08; p (�� = 0.85; SE = 0.01; p buy Nutlin-3 to the clinical diagnosis, AUC was 0.981 (95%, CI = [0.970, 0.992]) for the ADHD-combined subgroup and 0.974 (95%, CI = [0.959, 0.989]) for the ADHD-inattentive subgroup. In addition, the percentage of ADHD cases that scored higher than the 90% of the control group scores was 94.3%. Differentiating between the two clinical subgroups, the percentages were 95.4 and 89.2% for the ADHD-combined and the ADHD-inattentive subgroups, respectively. Discussion It is clear that ADHD is a clinical and neuropsychological heterogeneous disorder. At the clinical level, the two main ADHD dimensions described in DSM (i.e., inattention and hyperactivity/impulsivity) are widely validated, although the bidimensional model of ADHD has been recently questioned (Parke et al., 2016). Further, the validity of the three nominal subtypes (i.e.