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 2x2 tables, recommendations have been given for the correlation coefficient phi for binary data; however, it is well known that phi 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 phi for fixed marginal probabilities. It will further be demonstrated that the marginal assumptions can be relaxed resulting in more general results.
机构:
Beijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China
Cao, Xingyun
Wang, Weizhen
论文数: 0引用数: 0
h-index: 0
机构:
Wright State Univ, Dept Math & Stat, Dayton, OH 45435 USABeijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China
Wang, Weizhen
Xie, Tianfa
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China