 # Can Ordinal Data Be Continuous?

## Is age ordinal or nominal?

Age can be both nominal and ordinal data depending on the question types.

I.e “How old are you” is a used to collect nominal data while “Are you the first born or What position are you in your family” is used to collect ordinal data.

Age becomes ordinal data when there’s some sort of order to it..

## Is gender ordinal or nominal?

There are two types of categorical variable, nominal and ordinal. A nominal variable has no intrinsic ordering to its categories. For example, gender is a categorical variable having two categories (male and female) with no intrinsic ordering to the categories. An ordinal variable has a clear ordering.

## Can ordinal variables be continuous?

Keep in mind that researchers may sometimes treat ordinal variables as continuous if they have more than five categories. To remember this variable type, think ordinal = order. Continuous variables are measured numerically, and have an infinite number of possible values.

## Is ordinal data discrete or continuous?

Ordinal (ordered) variables, e.g., grade levels, income levels, school grades. Discrete interval variables with only a few values, e.g., number of times married. Continuous variables grouped into small number of categories, e.g., income grouped into subsets, blood pressure levels (normal, high-normal etc)

## Can ordinal data be treated as interval data?

All ordinal data is not the same. There is a continuum of “ordinality” if you like. … Then there are other instances of ordinal data for which it is reasonable to treat it as interval data and calculate the mean and median. It might even be supportable to use it in a correlation or regression.

## Is Likert scale ordinal or interval data?

The Likert scale is widely used in social work research, and is commonly constructed with four to seven points. It is usually treated as an interval scale, but strictly speaking it is an ordinal scale, where arithmetic operations cannot be conducted.