Table 3.

Summary statistics for coefficients from simulation study with partial correlation of .34 and sample size of 500.

	(ρxy, ρxz, ρyz) = (.35,.1,.15), ρxy.z = .34, τxy.z = .36,n = 500
	Pearson correlation				Fisher-z
	Full	CC	EM	MI	Full	CC	EM	MI
20% missing
E(Bias)	0.001	−0.058	0.001	0.001	0.002	−0.064	0.001	0.002
E(SE)	0.042	0.048	0.043	0.047	0.045	0.050	0.048	0.049
$\sqrt{\mathit{MSE}}$	0.04	0.074	0.044	0.044	0.045	0.081	0.05	0.05
RE	1	3.49	1.24	1.26	1	3.26	1.24	1.26
95% Cov	0.96	0.809	0.933	0.963	0.952	0.768	0.938	0.954
35% missing
E(Bias)	0.002	−0.08	0.004	0.005	0.002	−0.087	0.005	0.006
E(SE)	0.042	0.054	0.047	0.051	0.045	0.056	0.053	0.053
$\sqrt{\mathit{MSE}}$	0.041	0.095	0.049	0.05	0.046	0.103	0.056	0.057
RE	1	5.45	1.45	1.51	1	5.02	1.46	1.52
95% Cov	0.954	0.716	0.928	0.958	0.942	0.679	0.931	0.947
50% missing
E(Bias)	0	−0.097	0.011	0.013	0.001	−0.105	0.014	0.015
E(SE)	0.042	0.061	0.052	0.056	0.045	0.063	0.06	0.058
$\sqrt{\mathit{MSE}}$	0.041	0.113	0.055	0.056	0.046	0.123	0.063	0.064
RE	1	7.74	1.83	1.89	1	7.07	1.89	1.95
95% Cov	0.96	0.651	0.927	0.96	0.949	0.621	0.935	0.941

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)