Selecting the most appropriate inferential statistical test for your quantitative research study

Josette Bettany‐Saltikov and Victoria Jane Whittaker

Journal of Clinical Nursing, 2014, vol. 23, issue 11-12, 1520-1531

Abstract: Aims and objectives To discuss the issues and processes relating to the selection of the most appropriate statistical test. A review of the basic research concepts together with a number of clinical scenarios is used to illustrate this. Background Quantitative nursing research generally features the use of empirical data which necessitates the selection of both descriptive and statistical tests. Different types of research questions can be answered by different types of research designs, which in turn need to be matched to a specific statistical test(s). Design Discursive paper. Methods This paper discusses the issues relating to the selection of the most appropriate statistical test and makes some recommendations as to how these might be dealt with. Conclusion When conducting empirical quantitative studies, a number of key issues need to be considered. Considerations for selecting the most appropriate statistical tests are discussed and flow charts provided to facilitate this process. Relevance to clinical practice When nursing clinicians and researchers conduct quantitative research studies, it is crucial that the most appropriate statistical test is selected to enable valid conclusions to be made.

Date: 2014
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https://doi.org/10.1111/jocn.12343

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jocnur:v:23:y:2014:i:11-12:p:1520-1531

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