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. 2022 Mar-Apr;47(2):61-77.
doi: 10.1080/87565641.2021.2010735. Epub 2021 Dec 12.

Modeling the Speeded Determinants of Adolescents' Academic and Attentional Functioning

Holly N Wakeman  1 , Daniel R Leopold  1   2 , Richard K Olson  1 , Erik G Willcutt  1
Affiliations

Modeling the Speeded Determinants of Adolescents' Academic and Attentional Functioning

Holly N Wakeman et al. Dev Neuropsychol. 2022 Mar-Apr.

Abstract

The current study utilized a large, unselected sample of adolescent twins to examine whether processing speed (PS) is an important shared predictor that accounts for covariance among reading, math, ADHD, and rapid naming (RN). The best fitting model included correlated but distinguishable latent measures of PS, RN, reading, math, inattention, hyperactivity/impulsivity, and academic fluency. PS was a shared predictor across all outcomes, while RN was uniquely associated with reading, fluency, and (albeit weakly) math. The results add to a growing literature suggesting that PS and RN may be important components of comprehensive neuropsychological models of academics, ADHD, and their covariation.

Keywords: ADHD; comorbidity; math; processing speed; reading.

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Conflict of interest statement

Disclosure statement: The authors report no known conflicts of interest.

Figures

Figure 1.
Figure 1.
Overall measurement model with standardized parameter estimates. All solid regression paths p < .000 and dotted paths p > .05.
Figure 2.
Figure 2.
Full structural model with standardized parameter estimates. All solid regression paths p < .000; *p = .027; +p = .023; dotted paths p > .05.
See this image and copyright information in PMC

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