The binomial effect size display (BESD) is an intuitively appealing display of the magnitude of an experimental effect. Communication of statistical information can often be improved by selecting an adequate representation through which the statistic is communicated. For example, risk information is commonly better understood when communicated in the form of natural frequencies (e.g., 2 out of 100 patients experience a side effect) than in the form of probabilities (e.g., the probability of a side effect is .02) or percentages (e.g., 2% of patients experience a side effect). When statistical information is not communicated in a readily understood format, the likelihood of misinterpretation is high. One piece of statistical information vulnerable to misinterpretation is the strength of an experimental effect or effect size....
Looks like you do not have access to this content.