Table 2 Summary of Pearson’s correlations (corresponding p-values and Bayes factors) between the ORE of face recognition ability (FRA), the OREs of holistic processing (WPE and CFE), and GLI by the race of observers.

Race of observers	Pearson’s r	p	BF₁₀
Chinese (N = 31)
FRA_chi_cau − WPE_chi_cau	− 0.35	0.08	0.93
FRA_chi_cau − CFE_chi_cau	− 0.06	0.77	0.23
FRA_chi_sa − WPE_chi_sa	− 0.22	0.25	0.66
FRA_chi_sa − CFE_chi_sa	− 0.09	0.64	0.48
European-Caucasian (N = 30)
FRA_cau_chi – WPE_cau_chi	0.15	0.42	0.31
FRA_cau_chi – CFE_cau_chi	− 0.07	0.71	0.24
FRA_cau_sa – WPE_cau_sa	0.02	0.93	0.23
FRA_cau_sa – CFE_cau_sa	0.06	0.76	0.24
African (N = 30)
FRA_sa_chi – WPE_sa_chi	− 0.14	0.47	0.29
FRA_sa_chi – CFE_sa_chi	− 0.38	0.12	0.96
FRA_sa_cau – WPE_sa_cau	− 0.11	0.56	0.27
FRA_sa_cau – CFE_sa_cau	− 0.22	0.25	0.43
Australian-Caucasian (N = 30)
FRA_cau_chi – WPE_cau_chi	0.19	0.31	0.37
FRA_cau_chi – CFE_cau_chi	− 0.05	0.78	0.24
FRA_cau_sa – WPE_cau_sa	0.21	0.27	0.41
FRA_cau_sa – CFE_cau_sa	0.30	0.11	0.75

chi Chinese faces, sa South African faces, cau Caucasian faces. α (two-tailed) = 0.01 (0.05/4).

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