Toward a More Powerful Experimental Communication Science: An Assessment of Two Decades’ Research (2001–2023)

Ye Sun*, Lijiang Shen, Zhongdang Pan, Sijia Qian

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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 languageEnglish
JournalCommunication Research
DOIs
Publication statusOnline published - 2 Jan 2025

Research Keywords

  • effect size
  • experimental communication research
  • open science
  • power analysis
  • statistical power

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