# Examples of ordinal measurements

## What are ordinal measures?

In ordinal measurement,

**the values stress the order or rank of the values**, but the differences between each one is not really known.## What are examples of nominal and ordinal?

Examples of nominal data include

**country, gender, race, hair color etc.****of a group of people**, while that of ordinal data includes having a position in class as â€śFirstâ€ť or â€śSecondâ€ť.## What is ordinal variable and example?

An ordinal variable is

**a categorical variable for which the possible values are ordered**. Ordinal variables can be considered â€śin betweenâ€ť categorical and quantitative variables. Example: Educational level might be categorized as. 1: Elementary school education. 2: High school graduate.## What is an example of an ordinal question?

Examples of ordinal scales

This popular form of survey question offers respondents an ordered range of answers from one extreme to another. Take, for example, these questions from our Employee Satisfaction Survey Template: **How meaningful is your work?** How challenging is your job?

## Is salary ordinal or nominal?

Nominal (Unordered categories) of Data

For example, salary can be turned into a **nominal variable** by defining “high salary” as an annual salary of more than $200,000, “moderate salary” as less than or equal to $200,000 and more than $75,000, and “low salary” as less than or equal to $75,000.

## Is education nominal or ordinal?

Ordinal Data Levels of Measurement

For example, education level (with possible values of high school, undergraduate degree, and graduate degree) would be an **ordinal variable**.

## Which is an ordinal data?

Ordinal data is

**a kind of categorical data with a set order or scale to it**. For example, ordinal data is said to have been collected when a responder inputs his/her financial happiness level on a scale of 1-10. In ordinal data, there is no standard scale on which the difference in each score is measured.## How do you describe ordinal data?

In statistics, ordinal data are

**the type of data in which the values follow a natural order**. One of the most notable features of ordinal data is that the differences between the data values cannot be determined or are meaningless.## What are the example of nominal?

Nominal data are used to label variables without any quantitative value. Common examples include male/female (albeit somewhat outdated), hair color, nationalities, names of people, and so on. In plain English: basically, they’re labels (and nominal comes from “name” to help you remember).

## What are the example of nominal?

Examples of nominal variables include:

**genotype, blood type, zip code, gender, race, eye color, political party**.## What is the example of nominal data?

Nominal data are used to label variables without any quantitative value. Common examples include

**male/female (albeit somewhat outdated), hair color, nationalities, names of people**, and so on. In plain English: basically, they’re labels (and nominal comes from “name” to help you remember).## What is nominal and ordinal?

**Nominal scale is a naming scale, where variables are simply â€śnamedâ€ť or labeled, with no specific order.**

**Ordinal scale has all its variables in a specific order, beyond just naming them**. Interval scale offers labels, order, as well as, a specific interval between each of its variable options.

## How do you tell the difference between nominal and ordinal?

**Nominal data is classified without a natural order or rank, whereas ordinal data has a predetermined or natural order**. On the other hand, numerical or quantitative data will always be a number that can be measured.

## Is gender nominal or ordinal?

nominal variable

Gender is an example of a

**nominal variable**because the categories (woman, man, transgender, non-binary, etc.) cannot be ordered from high to low. Olympic medals are an example of an ordinal variable because the categories (gold, silver, bronze) can be ordered from high to low.## Is age an interval or ratio?

The short answer: Age is considered a

**ratio variable**because it has a â€śtrue zeroâ€ť value. It’s possible for an individual to be zero years old (a newborn) and we can say that the difference between 0 years and 10 years is the same as the difference between 10 years and 20 years.## What are 3 examples of discrete data?

**Examples of discrete data**

- The number of customers who bought different items.
- The number of computers in each department.
- The number of items you buy at the grocery store each week.

## Is religion nominal or ordinal?

nominal scale

There are many different religions, but again these are just different ways of categorizing the religious preferences of people. Consequently religion has only a

**nominal scale of measurement**.## Is smoking status nominal or ordinal?

categorical ordinal variable

Smoking is a

**categorical ordinal variable**.## Is marriage status nominal or ordinal?

nominal categorical variable

For example, it is generally meaningless to say that an individual who is divorced has higher or lower marital status than an individual who is widowed. Hence marital status is a

**nominal categorical variable**.## Is hair color nominal or ordinal?

nominal level

Hair color is an example of a

**nominal level of measurement**. Nominal measures are categorical, and those categories cannot be mathematically ranked. There is no ranking order between hair colors. They are simply different.## Is number of children nominal or ordinal?

As an

**ordinal measure**, the number of children could be measured in categories: 0, 1â€“2, 3â€“4, 5 or more. This could also be a nominal measurementâ€”do you have children?