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DOI | 10.1177/0963662519834193 |
Beyond reporting statistical significance: Identifying informative effect sizes to improve scientific communication | |
Hanel, Paul H. P.1; Mehler, David M. A.2,3 | |
发表日期 | 2019 |
ISSN | 0963-6625 |
EISSN | 1361-6609 |
卷号 | 28期号:4页码:468-485 |
英文摘要 | Transparent communication of research is key to foster understanding within and beyond the scientific community. An increased focus on reporting effect sizes in addition to p value-based significance statements or Bayes Factors may improve scientific communication with the general public. Across three studies (N = 652), we compared subjective informativeness ratings for five effect sizes, Bayes Factor, and commonly used significance statements. Results showed that Cohen's U3 was rated as most informative. For example, 440 participants (69%) found U3 more informative than Cohen's d, while 95 (15%) found d more informative than U3, with 99 participants (16%) finding both effect sizes equally informative. This effect was not moderated by level of education. We therefore suggest that in general, Cohen's U3 is used when scientific findings are communicated. However, the choice of the effect size may vary depending on what a researcher wants to highlight (e.g. differences or similarities). |
WOS研究方向 | Communication ; History & Philosophy of Science |
来源期刊 | PUBLIC UNDERSTANDING OF SCIENCE
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/97459 |
作者单位 | 1.Univ Bath, Bath, Avon, England; 2.Cardiff Univ, Cardiff, S Glam, Wales; 3.Univ Munster, Munster, Germany |
推荐引用方式 GB/T 7714 | Hanel, Paul H. P.,Mehler, David M. A.. Beyond reporting statistical significance: Identifying informative effect sizes to improve scientific communication[J],2019,28(4):468-485. |
APA | Hanel, Paul H. P.,&Mehler, David M. A..(2019).Beyond reporting statistical significance: Identifying informative effect sizes to improve scientific communication.PUBLIC UNDERSTANDING OF SCIENCE,28(4),468-485. |
MLA | Hanel, Paul H. P.,et al."Beyond reporting statistical significance: Identifying informative effect sizes to improve scientific communication".PUBLIC UNDERSTANDING OF SCIENCE 28.4(2019):468-485. |
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