Table A8.

Add Health Results: 25 Percent Sample, Proportion 300 Triad

		Ego Network Configuration Model				Degree Model		Homophily Model
Net ID	True Value	Mean Estimate	SEa	Biasb	Relative Biasc	Biasb	Relative Biasc	Biasb	Relative Biasc
1	.351	.431	.055	.080	.229	−.335	.957	−.310	.885
2	.622	.652	.096	.030	.048	−.579	.931	−.546	.878
3	.469	.438	.061	−.031	.067	−.452	.965	−.426	.909
4	.507	.492	.064	−.015	.030	−.491	.969	−.457	.902
5	.898	1.035	.107	.137	.153	−.854	.951	−.798	.889
6	.319	.318	.046	−.001	.004	−.315	.986	−.305	.955
7	.599	.672	.080	.073	.122	−.573	.957	−.542	.905
8	.774	.895	.100	.121	.156	−.727	.938	−.680	.879
9	.375	.412	.045	.037	.097	−.363	.968	−.344	.916
10	.504	.548	.051	.044	.087	−.486	.964	−.456	.904
11	.302	.358	.048	.056	.187	−.289	.957	−.273	.906
12	.275	.290	.038	.014	.052	−.263	.955	−.250	.907
13	.565	.546	.073	−.019	.034	−.542	.960	−.513	.909
14	.256	.269	.027	.013	.050	−.250	.976	−.240	.935
15	.384	.439	.048	.055	.142	−.366	.953	−.347	.902
16	.424	.467	.043	.043	.103	−.403	.951	−.369	.872
17	.219	.251	.026	.032	.146	−.212	.971	−.186	.848
18	.309	.328	.031	.019	.062	−.299	.970	−.283	.917
19	.267	.279	.028	.012	.046	−.256	.961	−.246	.922
20	.070	.076	.010	.005	.077	−.069	.973	−.067	.945

Note: The values for Mean Estimate, SE, Bias, and Relative Bias are calculated over 30 independent samples, where each sample yields one estimate of the network measure. Estimates, SE, and bias values are 10⁻⁵

^aThe Standard Error is the standard deviation of the sampling distribution.

^bBias=E(estimates)−True Value

^cRelative Bias= |Bias/True Value|