Table 5.

Hierarchical regression models for behavioral predictors (CPT-AX and covariate tasks).

Model Number	DV	Regressors	Regression results for behavioral predictors after controlling for age and preceding ERPs
			beta	t-value	p-value
2: CPT-AX – Go RT median	ERN/Ne	Age group Continuous age Go RT median	−0.05	−0.57	0.570
	Early Pe	Age group Continuous age ERN/Ne Go RT median	0.11	1.34	0.183
	Late Pe	Age group Continuous age ERN/Ne early Pe Go RT median	−0.07	−0.94	0.349
3: CPT-AX – NogoPrime errors	ERN/Ne	Age group Continuous age NoGoPrime errors	0.24	2.59	0.011
	Early Pe	Age group Continuous age ERN/Ne NoGoPrime errors	−0.26	−2.93	0.004
	Late Pe	Age group Continuous age ERN/Ne Early Pe NoGoPrime errors	0.02	0.24	0.814
4: CPT-AX – intra-individual Go RT variability	ERN/Ne	Age group Continuous age Go RT median RT variability	0.15	1.28	0.204
	Early Pe	Age group Continuous age Go RT median ERN/Ne RT variability	−0.35	−3.37	0.001
	Late Pe	Age group Continuous age Go RT median ERN/Ne Early Pe RT variability	−0.13	−1.38	0.169
5: Cognitive covariate task – inspection time	ERN/Ne	Age group Continuous age Early IT correct	0.03	0.37	0.711
	Early Pe	Age group Continuous age ERN/Ne Early IT correct	0.19	2.52	0.013
	Late Pe	Age group Continuous age ERN/Ne Early Pe Early IT correct	−0.10	−1.52	0.130

Note. DV – dependent variable; ERN/Ne – error-related negativity; ERP – event-related potential; IT – inspection time; Pe – error positivity; RT – reaction time. The variable name following the model number in column 1 indicates the regressor that was added into the model for each ERP component after entering the regressors “age group”, “continuous age”, and “preceding ERP”.