Effect Sizes for 2×2 Contingency Tables

Sample size calculations are an important part of research to balance the use of resources and to avoid undue harm to participants. Effect sizes are an integral part of these calculations and meaningful values are often unknown to the researcher. General recommendations for effect sizes have been proposed for several commonly used statistical procedures. For the analysis of [Image: see text] tables, recommendations have been given for the correlation coefficient [Image: see text] for binary data; however, it is well known that [Image: see text] suffers from poor statistical properties. The odds ratio is not problematic, although recommendations based on objective reasoning do not exist. This paper proposes odds ratio recommendations that are anchored to [Image: see text] for fixed marginal probabilities. It will further be demonstrated that the marginal assumptions can be relaxed resulting in more general results.