Table 2.

Summary statistics for coefficients from simulation study with partial correlation of .1 and sample size of 500.

	(ρxy, ρxz, ρyz) = (.105,.03,.21), ρxy.z = .1,τxy.z = .1,n = 500
	Pearson correlation				Fisher-z
	Full	CC	EM	MI	Full	CC	EM	MI
20% missing
E(Bias)	−0.001	−0.044	0.002	0.003	−0.001	−0.044	0.003	0.003
E(SE)	0.045	0.05	0.051	0.051	0.045	0.050	0.052	0.051
$\sqrt{\mathit{MSE}}$	0.044	0.066	0.049	0.05	0.045	0.066	0.05	0.051
RE	1	2.2	1.25	1.29	1	2.15	1.25	1.30
95% Cov	0.95	0.869	0.953	0.963	0.946	0.869	0.956	0.963
35% missing
E(Bias)	0.002	−0.061	0.011	0.012	0.003	−0.061	0.012	0.012
E(SE)	0.045	0.056	0.056	0.056	0.045	0.056	0.057	0.057
$\sqrt{\mathit{MSE}}$	0.044	0.081	0.055	0.056	0.045	0.081	0.056	0.057
RE	1	3.4	1.56	1.64	1	3.32	1.59	1.66
95% Cov	0.953	0.826	0.948	0.966	0.951	0.826	0.952	0.961
50% missing
E(Bias)	0	−0.081	0.021	0.021	0	−0.081	0.022	0.022
E(SE)	0.045	0.063	0.063	0.064	0.045	0.063	0.065	0.064
$\sqrt{\mathit{MSE}}$	0.044	0.104	0.067	0.069	0.045	0.104	0.068	0.071
RE	1	5.51	2.31	2.45	1	5.4	2.35	2.5
95% Cov	0.952	0.748	0.926	0.947	0.952	0.746	0.931	0.944

Note: full data (Full), complete case analysis (CC), the expectation-maximization algorithm (EM), multiple imputation (MI), standard error (SE), mean squared error (MSE), relative efficiency (RE), and 95% coverage probabilities (95% Cov)