Table 3.

Results of Bayesian multi-level modelling (Study 2). ESS, effective posterior sample size; $\hat{R}$, potential scale reduction factor; MCSE, Monte Carlo standard error; CrI, credible interval.

parameter	$\hat{\mathit{R}}$	ESS	mean	s.d.	MCSE	95% CrI
Care
intercept	1.01	1499	3.78	0.05	0.001	3.68, 3.89
slope (sex)	1.00	2646	−0.33	0.03	0.001	−0.41, −0.27
error s.d.	1.00	8000	0.73	0.00	0.000	0.72, 0.74
between-country s.d. intercept	1.00	1795	0.09	0.04	0.001	0.05, 0.19
correlation intercept–slope	1.00	2237	−0.02	0.02	0.000	−0.06, 0.00
between-country s.d. slope	1.00	2458	0.02	0.01	0.000	0.01, 0.05
Fairness
intercept	1.00	1386	3.72	0.05	0.001	3.62, 3.82
slope (sex)	1.00	5838	−0.17	0.02	0.000	−0.20, −0.13
error s.d.	1.00	8000	0.69	0.00	0.000	0.68, 0.70
between-country s.d. intercept	1.00	1501	0.11	0.04	0.001	0.05, 0.21
correlation intercept–slope	1.00	3849	−0.01	0.01	0.000	−0.03, 0.00
between-country s.d. slope	1.00	3114	0.00	0.00	0.000	0.00, 0.01
Loyalty
intercept	1.00	1945	2.64	0.07	0.002	2.49, 2.77
slope (sex)	1.00	10 267	0.03	0.02	0.000	0.02, 0.08
error s.d.	1.00	16 000	0.82	0.01	0.000	0.81, 0.83
between-country s.d. intercept	1.00	2752	0.14	0.06	0.001	0.07, 0.28
correlation intercept–slope	1.00	9146	−0.01	0.01	0.000	−0.04, 0.01
between-country s.d. slope	1.00	6165	0.01	0.00	0.000	0.00, 0.02
Authority
intercept	1.00	1420	2.63	0.05	0.001	2.60, 2.72
slope (sex)	1.00	4152	0.02	0.02	0.000	−0.03, 0.07
error s.d.	1.00	8000	0.87	0.01	0.000	0.86, 0.88
between-country s.d. intercept	1.00	1905	0.05	0.02	0.001	0.02, 0.11
correlation intercept–slope	1.00	4165	−0.01	0.01	0.000	−0.03, 0.01
between-country s.d. slope	1.00	2527	0.01	0.01	0.000	0.00, 0.03
Purity
intercept	1.00	1150	2.35	0.12	0.003	2.10, 2.56
slope (sex)	1.00	6025	−0.17	0.03	0.000	−0.23, −0.10
error s.d.	1.00	8000	0.98	0.01	0.000	0.96, 0.99
between-country s.d. intercept	1.00	1490	0.32	0.13	0.003	0.15, 0.66
correlation intercept–slope	1.00	3355	0.01	0.03	0.000	−0.03, 0.08
between-country s.d. slope	1.00	4682	0.02	0.01	0.000	0.01, 0.06