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The distinction between discrete and continuous variables is important. Categorical variables. The values of a categorical variable are selected from a small group of categories. Examples are gender (male or female) and marital status (never married, married, divorced or widowed).Categorical variables can be further categorised into ordinal and nominal variables. ... Name is a label variable. 2  Sex, Marital Status and Smoking are nominal categorical variables. 3  Age and Income are continuous numerical variables. 4  Number of children is a discrete numerical variable (a count).
Levels of measurement. What a scale actually means and what we can do with it depends on what its numbers represent. Numbers can be grouped into 4 types or levels: nominal, ordinal, interval, and ratio. Nominal is the most simple, and ratio the most sophisticated. Each level possesses the characteristics of the preceding level, plus an additional quality. Nominal. Nominal is hardly measurement. It refers to quality more than quantity. A nominal level of measurement is simply a matter of distinguishing by name, e.g., 1 = male, 2 = female. Even though we are using the numbers 1 and 2, they do not denote quantity.