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. Author manuscript; available in PMC: 2023 Jan 1.
Published in final edited form as: Soc Networks. 2021 Jun 18;68:148–178. doi: 10.1016/j.socnet.2021.05.002

Table A10.

Topology Bias Slope Regressions: Undirected Networks.

Variables Model 1 Component Size Model 2 Bicomponent Size Model 3 Distance Model 4 Transitivity Model 5 Tau RC Model 6 CONCOR
Intercept −2.752*** −2.78*** −3.262*** −0.538 −1.648 −3.82***
(0.44) (0.45) (0.42) (1.68) (0.84) (0.24)
Correlation with Centrality 0.685*** 0.619*** 0.742*** 0.53*** 0.132 0.56***
(0.07) (0.06) (0.13) (0.05) (0.08) (0.02)
In-degree Std. Dev. −0.061 −0.08* −0.086** −0.236 −0.005 −0.034
(0.03) (0.03) (0.03) (0.13) (0.06) (0.02)
Log of Size 0.106 0.168 0.24** −0.184 −0.07 0.07
(0.09) (0.09) (0.08) (0.34) (0.17) (0.05)
Symmetric Imputation −0.326 0.125 1.064* −2.167 2.207* −0.272
(0.46) (0.26) (0.52) (1.75) (1.1) (0.36)
Simple Model-Based Imputation −1.659 −0.327 0.914 −2.951 1.553 −0.128
(1.26) (1.67) (0.67) (2.08) (1.11) (0.31)
Complex Model-Based Imputation −1.605*** −0.077 1.052 −1.784 2.683 −0.145
(0.42) (1.53) (1.15) (1.53) (1.38) (0.24)
Correlation with Centrality* Symmetric Imputation 0.481*** 0.231** 0.179 0.117 0.161 −0.341***
(0.1) (0.09) (0.18) (0.08) (0.12) (0.03)
Correlation with Centrality* Simple Model-Based Imputation −0.326** −0.896*** −0.332 0.02 0.322** −0.458***
(0.1) (0.09) (0.18) (0.08) (0.12) (0.03)
Correlation with Centrality* Complex Model-Based Imputation −0.404*** −0.951*** −0.2 −0.051 0.378** −0.446***
(0.1) (0.09) (0.18) (0.08) (0.12) (0.03)
In-degree Std. Dev.* Symmetric Imputation −0.078* −0.096*** 0.045 0.227 −0.001 0.02
(0.03) (0.02) (0.04) (0.13) (0.08) (0.03)
In-degree Std. Dev.* Simple Model-Based Imputation −0.078 0.085 0.067 0.308* −0.126 0.021
(0.09) (0.13) (0.05) (0.16) (0.08) (0.02)
In-degree Std. Dev.* Complex Model-Based Imputation −0.026 0.07 0.062 0.1 −0.066 0.018
(0.03) (0.12) (0.09) (0.11) (0.1) (0.02)
Log of Size* Symmetric Imputation −0.277** −0.132* −0.497*** 0.164 −0.465* 0.021
(0.09) (0.05) (0.11) (0.36) (0.22) (0.07)
Log of Size *Simple Model-Based Imputation −0.051 −0.193 −0.59*** 0.2 −0.233 0.012
(0.26) (0.34) (0.14) (0.42) (0.23) (0.06)
Log of Size* Complex Model-Based Imputation −0.03 −0.265 −0.61** 0.257 −0.49 0.013
(0.09) (0.31) (0.23) (0.31) (0.28) (0.05)
N 180 180 180 180 180 180
Networks 5 5 5 5 5 5

Note: The regression uses the beta slopes from each line as the dependent variable. The direction of the bias is ignored when calculating the regressions. The betas represent the expected increase in bias for a 10 % increase in the amount of missing data. Larger numbers mean larger bias with more missing data. The correlation with centrality takes four values: -.75, -.25, .25, and .75.