| Literature DB >> 27130171 |
Michael Smithson1, Yiyun Shou2.
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.Keywords: ANOVA; Cohen’s d; Effect size; Moderator; Partial correlation; Regression; Regression coefficient; Replication; Semi-partial correlation
Mesh:
Year: 2017 PMID: 27130171 DOI: 10.3758/s13428-016-0735-z
Source DB: PubMed Journal: Behav Res Methods ISSN: 1554-351X