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Nonparametric Statistical Methods

We have discussed many statistical test methods to this point. Much of our attention has been focused on tests for analyzing interval-ratio data, which are quantitative in nature. These include t-tests, Analysis of Variance (ANOVA), and regression analysis. We have also discussed statistical methods using nominal data, sometimes called binary data, because they can have only two outcomes: success/failure, positive/negative, or growth/no growth. In this last chapter, we will again deal with interval-ratio data and nominal data and will also deal with data that fall between these two extremes of the spectrum – data that can ranked. These data are termed ordinal data and, like nominal data, are qualitative in nature. Table 7.1 summarizes these distinctions.

Table 7.1

Three data scale types

Nominal data

Ordinal data

Continuous data

 

Binary values (1,0) representing growth/no growth, success/failure, positive/negative; these can be distinguished, but not ranked

Distinguished by multiple...

Keywords

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© Springer Science+Business Media, LLC 2008

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