ABSTRACT

Nonparametric methods of statistical analysis frequently utilized as alternatives to traditional statistical methods based on normal theory assumptions. Benefits of the use of nonparametric methods include wider applicability in terms of level of measurement required and less stringent distributional assumptions as well as the opportunity for increased statistical power. In this paper, we demonstrate an important fundamental weakness of normal theory based methods for certain data structures. This weakness is illustrated in the context of the analysis of the results of a matched pairs experiment. Additionally, we apply the use of nonparametric analysis of data on ...