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Due to the log-normal distribution of the RT values, we used log transformed [x = ln(x)] data on the analysis (Csibra et al., 2016). Following the transformation all distributions of RT data were not different from normal according to Shapiro�CWilk normality test. FIGURE 2 Mean reaction times (ms) on correct responses for Bilinguals and Monolinguals as a function of stimulus type (Chinese faces, Caucasian faces, cars). The analysis revealed that selleck products Bilinguals were slower than Monolinguals, F(1,80) = 10.53, p = 0.002 ��p2 = 0.11. The Stimulus type factor was also significant, F(2,160) = 11.81, p SD = 161 vs. Chinese = 820 ms, SD = 161), p PD0332991 faces were equivalent, p = 0.82. Car (965 ms, SD = 153) processing increased significantly their RTs, compared to Caucasian and Chinese faces, both p than Chinese faces (941 ms, SD = 216), p PTEN (Caucasian = 979 ms, SD = 196 vs. Chinese = 1008 ms, SD = 184, p = 0.6; Caucasian vs. Cars = 1007 ms, SD = 172, p = 0.5; Chinese vs. Cars, p = 1). In the Upright condition, Bilinguals�� RTs were slower than Monolinguals for Caucasian faces (p = 0.047) but not different for Chinese faces (p = 0.9) or Cars (p = 0.11). The Bilinguals�� RTs were not affected by the Chinese faces. For the Inverted faces, Bilinguals�� RTs were equivalent than Monolinguals�� for Caucasian faces (p = 0.11), Chinese faces (p = 0.4), and Cars (p = 0.22).