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. 2011 Nov 21;6(11):e26785. doi: 10.1371/journal.pone.0026785

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Fordyce et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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A) Performance of conventional methods for analyzing count/preference data. Red hatched line indicates the 0.05 quantile of p-values for 1000 data sets simulated under the null model of no preference. Numbers are the p-values of 0.05 quantile. Methods examined were the (i) Friedman test, (ii) the Quade test, and (iii) ANOVA on arcsin square root transformed proportions. B) Distribution of DIC values for models with equal preference versus models with different preferences for each item. Red hatched line indicates the 0.95 quantile of DIC values.

Inline graphic — A) Performance of conventional methods for analyzing count/preference data. Red hatched line indicates the 0.05 quantile of p-values for 1000 data sets simulated under the null model of no preference. Numbers are the p-values of 0.05 quantile. Methods examined were the (i) Friedman test, (ii) the Quade test, and (iii) ANOVA on arcsin square root transformed proportions. B) Distribution of DIC values for models with equal preference versus models with different preferences for each item. Red hatched line indicates the 0.95 quantile of DIC values.