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Improving the replicability and generalizability of inferences in quantitative communication research
Annals of the International Communication Association Pub Date : 2021-09-26 , DOI: 10.1080/23808985.2021.1979421
Jacob A. Long 1
Affiliation  

ABSTRACT

This paper discusses the assessment of quality of quantitative communication research in light of the so-called ‘replicability crisis’ that has affected neighboring disciplines. For social scientific research, it is useful to think of research results as estimates which include error. I propose a framework suited to a variable field like communication, factoring in all sources of error, for assessing the quality of research. In communication research, greater consideration of generalizability is essential, which is at once both a higher standard than replicability but also a goal that should increase it. Furthermore, more explicit discussion of generalizability may help to further internationalize the discipline by clarifying the limitations of the large portion of research conducted within a narrow subset of world cultures.



中文翻译:

提高定量传播研究中推论的可复制性和泛化性

摘要

本文根据影响邻近学科的所谓“可复制性危机”讨论了定量传播研究的质量评估。对于社会科学研究,将研究结果视为包含误差的估计值是有用的。我提出了一个适用于交流等可变领域的框架,将所有错误来源考虑在内,用于评估研究质量。在传播研究中,更多地考虑普遍性是必不可少的,这既是比可复制性更高的标准,也是应该提高它的目标。此外,通过澄清在一小部分世界文化中进行的大部分研究的局限性,对普遍性进行更明确的讨论可能有助于进一步国际化该学科。

更新日期:2021-10-22
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