Skip to main content
. Author manuscript; available in PMC: 2017 Oct 1.
Published in final edited form as: Methodology (Gott). 2016 Dec 5;12(4):107–116. doi: 10.1027/1614-2241/a000114

Figure 2.

Figure 2

Simulated coverage for 95% confidence intervals of selected methods in low measurement quality, high effect size scenarios with continuous outcomes. The six bars for each method, in order from top (light) to bottom (dark), represent coverage for the following six conditions: homoskedastic distribution with even class sizes, homoskedastic with uneven class sizes, heteroskedastic with even, heteroskedastic with uneven, exponential skewed with even, and exponential skewed with uneven. Class proportions have relatively little effect on coverage, but distribution shape has a large effect on coverage, with the ML and inclusive methods having very poor coverage for the heteroskedastic distribution. The BCH proportional method was omitted as its coverage was identical with BCH modal.