To account for possible group and individual differences in aspects of performance not specific to EF, we created a baseline-adjusted measure of the extent to which individuals erred on no-go relative to go trials. This measure, no-go accuracy cost, was calculated as the difference between the proportion of correct go trials and the proportion of correct no-go trials, divided by the proportion of correct go trials. No-go accuracy cost provides a more pure measure of EF than does simple no-go accuracy, but the same pattern of results was obtained using no-go accuracy, except that no-go accuracy cost scores were negatively correlated with median RT (r = −0.42, p < 0.01), indicating a speed-accuracy tradeoff in this sample, whereas there was no relation between simple no-go accuracy and median RT, r = 0.12. Separate one-way ANOVAs found no cultural group differences in no-go accuracy cost scores, F(1, 35) = 0.84, ns, ηp2=0.02 (Chinese M = 0.01, SE = 0.03; European M = 0.04, SE = 0.02) or median RT, F(1, 35) = 0.16, ns, ηp2=0.01 (Chinese M = 744.38 ms, SE = 25.47; European M = 758.20, SE = 23.48). The absence of cultural group differences in behavioral performance facilitates interpretation of any differences to emerge from ERP analyses.