A matter of research integrity: The reporting of statistical software used in studies published in nursing journals in 2023

Author:

Hedlund Åsa1ORCID,Lindberg Magnus1ORCID

Affiliation:

1. Faculty of Health and Occupational Studies, Department of Caring Sciences University of Gävle Gävle Sweden

Abstract

AbstractThe 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.

Publisher

Wiley

Reference19 articles.

1. ALLEA (All European Academies). (2023).The European Code of Conduct for Research Integrity.https://allea.org/code-of-conduct/

2. Boswell A.(n.d.).Difference in calculations for Stata versions and processors.https://www.stata.com/support/faqs/windows/results-in-different-versions/

3. Reporting statistical methods and outcome of statistical analyses in research articles

4. Clarivate. (2023).Journal Impact Factor Journal Citation Reports.https://jcr.clarivate.com/jcr/browse-journals

5. Douglas A. Roos D. Mancini F. Couto A. &Lusseau D.(2024).An introduction to R.https://intro2r.com/index.html

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3