Smithson, MichaelShou, Yiyun2016-10-072016-10-071554-3528http://hdl.handle.net/1885/109181This paper discusses largely ignored issues regarding moderation of effect-sizes. We show that, under commonly-occurring conditions, popular alternatives for effect-size measures in ANOVA and multiple regression are not moderated identically across independent samples. Effects may appear to be unmoderated according to one effect-size measure but not according to another, or may even be moderated in opposite directions. We identify the conditions under which differential effect-size moderation can occur, and show that they are commonplace. We then review techniques for detecting and dealing with differential moderation of alternative effect-size measures. Finally, we discuss implications for research practice, reporting, replication, and meta-analysis.11 pages© 2016 Psychonomic Society, Inc.anovaCohen's deffect sizemoderatorpartial correlationregressionregression coefficientreplicationsemi-partial correlation2016-04-2910.3758/s13428-016-0735-z