Toward a More Powerful Experimental Communication Science: An Assessment of Two Decades’ Research (2001–2023)
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 sh...
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creator | Sun, Ye Shen, Lijiang Pan, Zhongdang Qian, Sijia |
description | 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. |
doi_str_mv | 10.1177/00936502241308599 |
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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. 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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. 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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.</abstract><doi>10.1177/00936502241308599</doi><orcidid>https://orcid.org/0000-0001-8551-2037</orcidid><orcidid>https://orcid.org/0000-0001-7949-1153</orcidid><orcidid>https://orcid.org/0000-0003-4870-4878</orcidid></addata></record> |
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title | Toward a More Powerful Experimental Communication Science: An Assessment of Two Decades’ Research (2001–2023) |
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