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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 oftables, recommendations have been given for the correlation coefficientfor binary data; however, it is well known thatsuffers 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 tofor fixed marginal probabilities. It will further be demonstrated that the marginal assumptions can be relaxed resulting in more general results.

Effect Sizes for 2×2 Contingency Tables