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A matter of research integrity: The reporting of statistical software used in studies published in nursing journals in 2023
University of Gävle, Faculty of Health and Occupational Studies, Department of Caring Science, Caring Science.ORCID iD: 0000-0003-4676-9010
University of Gävle, Faculty of Health and Occupational Studies, Department of Caring Science, Caring Science.ORCID iD: 0000-0003-1289-9896
2024 (English)In: Learned Publishing, ISSN 0953-1513, E-ISSN 1741-4857, Vol. 37, no 4, article id e1622Article in journal (Refereed) Published
Abstract [en]

The field of nursing has consistently upheld a strong sense of ethical awareness, which can be assumed to be reflected in the performance of nursing research. Adhering to sound research principles involves prioritizing research integrity. This entails being clear and open in detailing the methods used, allowing others to have confidence in both the methods and the resulting outcomes. This methodological review aimed to provide an overview of how statistical software programs have been reported in nursing studies. We screened articles published in the year 2023 in the five top-ranking and the five bottom-ranking nursing journals and found 311 that were eligible for this review; that is, quantitative/mixed-methods/meta-analyses. The most commonly used statistical software programs in these articles was IBM SPSS Statistics, followed by R. However, one out of 10 studies did not report the software used. Among those that reported the software, the software version was not always reported. Our findings suggest that there is insufficient reporting on the statistical software used for analysing quantitative data in nursing journal publications. From a perspective of maintaining research integrity, this presents an issue, as it jeopardizes transparency, sincerity, and, consequently, the ability to replicate methods and have confidence in the results.

Place, publisher, year, edition, pages
Wiley , 2024. Vol. 37, no 4, article id e1622
Keywords [en]
nursing; research integrity; review; statistical software
National Category
Nursing
Research subject
no Strategic Research Area (SFO)
Identifiers
URN: urn:nbn:se:hig:diva-44028DOI: 10.1002/leap.1622ISI: 001293201700001Scopus ID: 2-s2.0-85201538990OAI: oai:DiVA.org:hig-44028DiVA, id: diva2:1849931
Available from: 2024-04-09 Created: 2024-04-09 Last updated: 2024-10-31Bibliographically approved

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Hedlund, ÅsaLindberg, Magnus

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CiteExportLink to record
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Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf