30
Jul
Nominal Versus Ordinal Data. Again this is easy to remember because ordinal sounds like order. Nominal data is a group of non-parametric variables while Ordinal data is a group of non-parametric ordered variables. Here are some examples of ordinal data. Ordinal data is data which is placed into some kind of order by their position on the scale.
In Independence Testing we describe how to perform testing for contingency tables where both factors are nominalIn Ordered Chi-square Testing for Independence we describe how to perform similar testing when both factors are ordinalOn this webpage we consider the case where one factor is nominal and the other is ordinal. Upon importing the data for any variable into the SPSS input file it takes it as a scale variable by. Nominal and ordinal data can be either string alphanumeric or numeric. Low income middle income high income. For example after a customer shops from a retail outlet heshe is asked to fill out a kiosk survey. 127 people who attended a training course were asked to.
In comparison to one another and rank each parameter variable.
Both are nominal and each has two values. Its the same as nominal data in that its looking at categories but unlike nominal data there is also a meaningful order or rank between the options. Range variance mean deviation standard deviation. In scale data there is no standardised value for the difference from one score to the next. 1 male 2 female Ordinal. Because the word nominal shares a Latin root with the word name and has a similar sound nominal datas function is easy to remember.