The one-way ANOVA test explained
The one-way ANOVA test explained
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DOI：
10.7748/nr.2023.e1885
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发表时间：
2023-09-07
期刊：
影响因子：
1.2
通讯作者：
Doody, Owen
中科院分区：
文献类型：
--
作者：
Chatzi, Anna;Doody, Owen
背景定量方法和统计分析是护理研究中必不可少的工具，因为它们支持研究人员测试现象，清楚而准确地说明他们的发现，并对被调查的现象提供解释或概括。最流行的推论统计学检验是单向方差分析(ANOVA)，因为它是指定用于比较研究目标群体的平均值以确定他们在统计上是否不同的检验。然而，护理文献发现，统计检验没有得到正确的使用，结果被错误地报道。目的介绍和解释单向方差分析。它使用相关的例子来检验成功应用单向方差分析所需的步骤。作者还对与单向方差分析平行的其他统计检验和测量提出了建议。结论护士需要提高对统计方法的理解和知识，以便从事研究和循证实践。实践的意义本文增进了护生、新手、护士和从事学术研究的人员对单向方差分析的理解和应用。护士、护生和护士研究人员需要熟悉统计术语，并发展他们对统计概念的理解，以支持基于证据的、高质量、安全的护理。
Background Quantitative methods and statistical analysis are essential tools in nursing research, as they support researchers testing phenomena, illustrate their findings clearly and accurately, and provide explanation or generalisation of the phenomenon being investigated. The most popular inferential statistics test is the one-way analysis of variance (ANOVA), as it is the test designated for comparing the means of a study's target groups to identify if they are statistically different to the others. However, the nursing literature has identified that statistical tests are not being used correctly and findings are being reported incorrectly.Aim To present and explain the one-way ANOVA.Discussion The article presents the purpose of inferential statistics and explains one-way ANOVA. It uses relevant examples to examine the steps needed to successfully apply the one-way ANOVA. The authors also provide recommendations for other statistical tests and measurements in parallel to one-way ANOVA.Conclusion Nurses need to develop their understanding and knowledge of statistical methods, to engage in research and evidence-based practice.Implications for practice This article enhances the understanding and application of one-way ANOVAs by nursing students, novice researchers, nurses and those engaged in academic studies. Nurses, nursing students and nurse researchers need to familiarise themselves with statistical terminology and develop their understanding of statistical concepts, to support evidence-based, quality, safe care.