n Management Dynamics : Journal of the Southern African Institute for Management Scientists - Estimating the means and standard deviations of rank ordered survey items




The use of rank ordered response scales is widespread in a variety of research contexts. Frequently the analysis of rank ordered responses is either simplistic or inappropriate, with the application of parametric statistics to ordinal level data. The rigorous analysis of rank ordered response data pioneered by Thurstone (1927) is plagued by algebraic complexity. A practicable approach to analysing rank ordered response data is presented, which takes advantage of the considerable computation power now readily available to researchers, in place of complicated theoretical analysis. Moreover, the approach can be readily applied to partially rank ordered data, where respondents have been asked to rank only the more preferred of many survey items.


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