Abstract
Computing the average 'effect', the difference in means of the dependent variable between conditions, is by far the most common way of analyzing experimental data. In many settings, however, the proportion of people individually exhibiting the effect in question (or the opposite one) is of interest also. This paper puts forward an assumption-free and… (More)