| Autor: |
Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Documentation. |
| ISSN: |
0022-0418 |
| DOI: |
10.1108/jd-12-2022-0261 |
| Popis: |
PurposeScholars often aim to conduct high quality research and their success is judged primarily by peer reviewers. Research quality is difficult for either group to identify, however and misunderstandings can reduce the efficiency of the scientific enterprise. In response, we use a novel term association strategy to seek quantitative evidence of aspects of research that are associated with high or low quality.Design/methodology/approachWe extracted the words and 2–5-word phrases most strongly associated with different quality scores in each of 34 Units of Assessment (UoAs) in the Research Excellence Framework (REF) 2021. We extracted the terms from 122,331 journal articles 2014–2020 with individual REF2021 quality scores.FindingsThe terms associating with high- or low-quality scores vary between fields but relate to writing styles, methods and topics. We show that the first-person writing style strongly associates with higher quality research in many areas because it is the norm for a set of large prestigious journals. We found methods and topics that associate with both high- and low-quality scores. Worryingly, terms associated with educational and qualitative research attract lower quality scores in multiple areas. REF experts may rarely give high scores to qualitative or educational research because the authors tend to be less competent, because it is harder to do world leading research with these themes, or because they do not value them.Originality/valueThis is the first investigation of journal article terms associating with research quality. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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