Table 2 Sample difference tests.

Measurement	EPP		GUP		Mean difference test				Variance difference test
Measurement	Mean	SD	Mean	SD	Stat	df(s)	p	Cohen’s d	Stat	df(s)	p
*Reaction time*
All trials
Mean Go	659	172	560	116	7.54	372.13	< .001	0.7	36.1	1.539	< .001
Mean Nogo	586	219	470	161	6.56	369.35	< .001	0.62	23.5	1.507	< .001
SD Go	251	77	211	59	6.46	410.36	< .001	0.59	15.64	1.539	< .001
SD Nogo	238	183	142	128	6.2	324.23	< .001	0.62	40.37	1.439	< .001
*Accuracy*
All Trials
Go	0.95	0.07	0.97	0.05	− 4.45	387.75	< .001	− 0.41	42.1	1.539	< .001
Nogo	0.83	0.13	0.86	0.11	− 3.3	426.81	.001	− 0.3	14.1	1.539	< .001
*ES MW probes*
Attention Off	0.09	0.14	0.25	0.23	− 10.06	519.01	< .001	− 0.81	72.1	1.539	< .001
Meta-Awareness Off	0.36	0.36	0.26	0.28	2.81	238.1	.005	0.31	17.43	1.426	< .001

Samples sizes were n \(=\) 228 and n \(=\) 313 for the EPP and GUP sample, respectively. For brevity, we only report parametric tests here even though several of the variables show a non-normal distribution. Non-parametric tests (Mann–Whitney U tests instead of t tests for mean differences and Brown–Forsythe tests instead of the Levene’s tests for variance differences) showed a similar overall pattern of results, see Table S8 in the supplementary materials at https://osf.io/8kg6z). SD \(=\) standard deviation, EPP \(=\) English-speaking paid participants, GUP \(=\) German-speaking unpaid participants.

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