%0 Journal Article
%T Univariate Outliers: A Conceptual Overview for the Nurse Researcher
%A Fabrice I. Mowbray
%A Maher M. El-Masri
%A Susan M. Fox-Wasylyshyn
%J Canadian Journal of Nursing Research
%@ 1705-7051
%D 2019
%R 10.1177/0844562118786647
%X The presence of statistical outliers is a shared concern in research. If ignored or improperly handled, outliers have the potential to distort the estimate of the parameter of interest and thus compromise the generalizability of research findings. A variety of statistical techniques are available to assist researchers with the identification and management of outlier cases. The purpose of this paper is to provide a conceptual overview of univariate outliers with special focus on common techniques used to detect and manage univariate outliers. Specifically, this paper discusses the use of histograms, boxplots, interquartile range, and z-score analysis as common univariate outlier identification techniques. The paper also discusses the outlier management techniques of deletion, substitution, and transformation
%K Outliers
%K management of outliers
%K univariate outliers
%K substitution techniques
%K outlier deletion
%K screening for outliers
%U https://journals.sagepub.com/doi/full/10.1177/0844562118786647