arrow
Return

WHEN SMALL EFFECTS ARE IMPRESSIVE

delete1992-07-01
delete844
PRE
AI
D
Deborah A. Prentice *
D
Dale T. Miller
DOI:10.1037/0033-2909.112.1.160delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Effect size is becoming an increasingly popular measure of the importance of an effect, both in individual studies and in meta-analyses. However, a large effect size is not the only way to demonstrate that an effect is important. This article describes 2 alternative methodological strategies, in which importance is a function of how minimal a manipulation of the independent variable or how difficult-to-influence a dependent variable will still produce an effect. These methodologies demonstrate the importance of an independent variable or psychological process, even though they often yield effects that are small in statistical terms.
Keywords:
SOCIAL CATEGORIZATION
BEHAVIOR
DISCRIMINATION
KNOWLEDGE
JUDGMENT
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Psychological Bulletin cover
Psychological Bulletin
IF:
19.8
Papers:
2.2K
Citations:
6.0W

Organization

No organization information available
Cited Papers

Cited Papers

No cited papers available