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. Author manuscript; available in PMC: 2017 May 11.
Published in final edited form as: J Multivar Anal. 2014 Apr 5;130:176–193. doi: 10.1016/j.jmva.2014.03.012

Table 4.

Power and robustness study (Scenario IV). L = 8, K = 2000, D = 1000, (ρ13, ρ23) = (.5, .6), β3 = 0.1, σα = 1, σε = .5. Note: The standard deviation (std.dev.) relates to variation across the randomly generated 1000 covariate matrices X. Each number was obtained as the mean over 1000 simulated covariate matrices X and for each generated X, K = 2000 iterations were used to simulate the response vector Y.

m= 500, EN = 1750
m = 50, EN = 175
Mean Power std.dev. Mean Power std.dev.
Cell Variable x3 0.873 0.035 0.122 0.028
Wald Test on x3 0.059 0.024 0.065 0.026

Misspecification of the error term distribution

εij simulated from t3

Cell Variable x3 0.873 0.035 0.123 0.030
Wald Test on x3 0.059 0.024 0.065 0.026

εij simulated from t5

Cell Variable x3 0.873 0.035 0.122 0.029
Wald Test on x3 0.060 0.025 0.066 0.030

Misspecification of the random effect distribution

αi simulated from t3

Cell Variable x3 0.878 0.032 0.139 0.033
Wald Test on x3 0.061 0.027 0.067 0.031

αi simulated from t5

Cell Variable x3 0.872 0.035 0.126 0.030
Wald Test on x3 0.061 0.026 0.067 0.031