Abstract
This 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.
Original language | English |
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Pages (from-to) | 747-757 |
Number of pages | 11 |
Journal | Behavior Research Methods |
Volume | 49 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Apr 2017 |