Abstract
Low statistical power undermines a credible scientific discipline. This paper presents a statistical power assessment of experimental communication research based on a random sample of 416 studies published in five central communication journals over the last two decades (2001–2023). Our analyses showed that there was a lack of attention to power and power analysis, with the majority of studies not even mentioning statistical power. We also demonstrated that between-subjects studies were overall underpowered for two-group, one-way multi-group, and factorial designs. Our findings suggest that conducting power analyses to ensure adequate statistical power should be a key priority for experimental communication research. © The Author(s) 2025.
| Original language | English |
|---|---|
| Pages (from-to) | 173-208 |
| Number of pages | 36 |
| Journal | Communication Research |
| Volume | 52 |
| Issue number | 2 |
| Online published | 2 Jan 2025 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Research Keywords
- effect size
- experimental communication research
- open science
- power analysis
- statistical power
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