Table 4.

Summary statistics for coefficients from simulation study with partial correlation of .55 and sample size of 500.

	(ρxy, ρxz, ρyz) = (.64,.5,.4), ρxy.z = .55, τxy.z = .36,n = 500
	Pearson correlation				Fisher-z
	Full	CC	EM	MI	Full	CC	EM	MI
20% missing
E(Bias)	−0.002	−0.041	−0.005	−0.004	−0.002	−0.057	−0.005	−0.005
E(SE)	0.037	0.043	0.035	0.041	0.045	0.050	0.051	0.048
$\sqrt{\mathit{MSE}}$	0.033	0.056	0.036	0.036	0.047	0.077	0.051	0.052
RE	1	2.91	1.19	1.21	1	2.63	1.18	1.20
95% Cov	0.976	0.89	0.939	0.983	0.933	0.789	0.942	0.935
35% missing
E(Bias)	−0.001	−0.062	−0.009	−0.008	−0.001	−0.084	−0.012	−0.011
E(SE)	0.037	0.048	0.039	0.044	0.045	0.056	0.055	0.051
$\sqrt{\mathit{MSE}}$	0.032	0.075	0.04	0.04	0.046	0.101	0.057	0.057
RE	1	5.49	1.55	1.57	1	4.79	1.51	1.5
95% Cov	0.976	0.802	0.941	0.976	0.947	0.66	0.94	0.941
50% missing
E(Bias)	−0.002	−0.077	−0.013	−0.012	−0.002	−0.104	−0.017	−0.016
E(SE)	0.037	0.056	0.043	0.049	0.045	0.064	0.062	0.055
$\sqrt{\mathit{MSE}}$	0.032	0.092	0.046	0.047	0.045	0.122	0.064	0.066
RE	1	8.41	2.1	2.17	1	7.2	2.0	2.07
95% Cov	0.979	0.756	0.939	0.978	0.954	0.637	0.934	0.931

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)