nesterov accelerated adaptive moment estimation algorithm
additionally fit 3 model without regression
model showing hierarchical estimation of drift diffusion model
additionally speeding up model estimation

encoding VIF=1.3020 ± 0.0085, Decision formation VIF=1.5934 ± 0.0168, Motor execution VIF=1.1836 ± 0.0055, Response inhibition VIF=1.1217 ± 0.0069, Positive feedback VIF=1.0016 ± 0.00004, Negative feedback VIF=1.0008±0.00003
a 0.2 Pupil baseline rcso 0 Z-0.2 d 1.2 p<6.7x10-25 lscueno iteghw0.8 itsum teb eaM 0.6
perceptual p=0.29 b it from itgh iicson teaw0.8

Adjusting ADJUST: Optimizing the ADJUST algorithm for pediatric data using geodesic nets

age group repeated measures nonparametric test
three factorial repeated measures nonparametric test
spearman brown split half correlation method
spearman brown corrected split half correlation coefficient
10 000 iterations of split half correlation
process generated 10 000 reliability estimates
b l e 4 repeated measures nonparametric test
infant data table s5 repeated measures nonparametric test
infant data table s8 repeated measures nonparametric test

The neurophysiological correlates of the triarchic model of psychopathy: An approach to the basic mechanisms of threat conditioning and inhibitory control

Moderators of the internal consistency of error-related negativity scores: A meta-analysis of internal consistency estimates

bonett transformed alphas during estimation
bonett transformed coefficient alpha estimates
independent components analysis aindicates moderator analysis
sensitivity analysis yielded 20 influential estimates
sensitivity analysis identified 8 influential estimates
sensitivity analysis excluded 5 estimates
generalizability theory over classical test

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