Key points are not available for this paper at this time.
There exists a variety of situations in which the dispersion of data, rather than their mean or other central value, is of interest. The coefficient of variation, which is a measure of dispersion divided by the appropriate measure of central tendency, is preferable to a raw measure of dispersion for this purpose. However, these measures do not have a constant range, and the common practice of dividing the variation value obtained by 100 and expressing the result as a per cent is particularly inappropriate, as all have maxima larger than unity for n>2. The present paper provides standardization procedures for coefficients of variation. The resulting standardized coefficients (called S-measures) have a zero-to-one range, and the common practice of dividing the variation value obtained by 100 and deviation) for descriptive purposes is demonstrated. It is suggested that S-measures replace, or at least supplement, coefficients of variation and raw dispersion measures when the problem of interest is relative dispersion between groups.
Martin et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: