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Fig. 2 | Journal of Neurodevelopmental Disorders

Fig. 2

From: A framework for characterizing heterogeneity in neurodevelopmental data using latent profile analysis in a sample of children with ADHD

Fig. 2

Plots of means for unrestricted models with 2–4 classes. The two-class solution converged on a single mode, while the three- and four-class models converged on multiple modes. The two best modes (i.e., with the highest loglikelihoods) are depicted. Profile means (y-axis) are standardized within the sample. SSRT stop-signal reaction time, VRT go-reaction time variability, FSIQ full-scale IQ, Digit Span Fwd digit span forward, Digit Span Bkwd digit span backward. Note recurring features in the data, such as the shape of class 1 (“low average”) across models, the shape of class 3 (“low control/high memory”) in the top three- and four-class models, and the shape of class 4 (“high FSIQ”) in the two best four-class models

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