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. Author manuscript; available in PMC: 2016 Mar 8.
Published in final edited form as: Stat Med. 2015 May 26;34(26):3381–3398. doi: 10.1002/sim.6532

Table VIII.

Median bias, reduction in bias, coverage, and RMSE of the mathematics and vocabulary treatment effect estimates for RAS and MITSS in simulations based on Shadish et al. [44] data.

Constant effect
Heterogeneous effect
M–N–m MITSS M–N–m MITSS
Bias math 0.04 0.04 0.04 0.03
Bias vocabulary 0.07 0.04 0.05 0.04
% Reduction in bias math 0.81 0.76 0.72 0.79
% Reduction in bias vocabulary 0.67 0.69 0.59 0.65
Coverage super-population math 0.95 0.98 0.98 1.00
Coverage super-population vocabulary 0.95 0.98 0.98 0.98
Coverage super-population joint 0.98 1.00
Super-population interval width math 0.77 0.68 0.85 0.76
Super-population interval width vocabulary 0.82 0.73 0.83 0.74
RMSE math 0.40 0.37 0.44 0.38
RMSE vocabulary 0.42 0.38 0.43 0.38