Table 1.

Nonparametric bootstrap point and interval estimates of Pearson’s r

Number of samples	Point estimate	Bias	SE	Normal theory		Simple percentile		BCa
				LL	UL	LL	UL	LL	UL
100	0.39	0.01	0.11	0.17	0.61	0.14	0.58	0.14	0.58
200	0.21	0.00	0.18	−0.14	0.57	−0.18	0.56	−0.17	0.55
500	0.60	0.00	0.10	0.40	0.80	0.38	0.78	0.33	0.77
1,000	0.40	−0.01	0.17	0.07	0.74	0.01	0.70	0.02	0.70
2,000	0.50	0.00	0.12	0.27	0.73	0.26	0.70	0.26	0.70
5,000	0.51	−0.02	0.17	0.18	0.85	0.10	0.75	0.11	0.76
10,000	0.54	−0.01	0.15	0.25	0.83	0.17	0.76	0.15	0.75

LL lower limit, UL upper limit, Bca accelerated bias-corrected confidence interval