Table 5. Analyses showing how similar outcomes are between (un)corrected noblink and corrected blink data.

Analysis (A) shows gender differences, as tested by independent sample t-tests, for each of the ERP compoments for each condition. Analysis (B) shows the Pearson correlations between age and the various ERP components for each condition.

Analysis A: Gender * ERP (Group difference t-test)				Analysis B: Age * ERP (Pearson correlation)
ERP	Uncorrected noblinks	Corrected noblinks	Corrected blinks	Uncorrected noblinks	Corrected noblinks	Corrected blinks
N1	p = .373	p = .153	p = .124	.45*, p = .01	.52**, p = .00	.37*, p = .04
P2	p = .078	p = .153	p = .146	−.33, p = .07	−.29, p = .11	−.21, p = .27
N2	p = .034*	p = .007**	p = .038*	.12, p = .53	.27, p = .14	.31, p = .10
P3p	p = .233	p = .080	p = .040*	−.40*, p = .03	−.46*, p = .01	−.39*, p = .03
P3	p = .830	p = .272	p = .872	−.14, p = .44	−.41*, p = .02	−.11, p = .56

Notes.

^*p < .05.

^**p < .01.