# What Are Nominal Scales?

## Is Likert scale nominal ordinal or scale in SPSS?

Likert items may be regarded as true ordinal scale, but they are often used as numeric and we can compute their mean or SD.

This is often done in attitude surveys, although it is wise to report both mean/SD and % of response in, e.g.

the two highest categories..

## What are nominal scales used for?

A nominal scale is a scale of measurement used to assign events or objects into discrete categories. This form of scale does not require the use of numeric values or categories ranked by class, but simply unique identifiers to label each distinct category.

## What is the difference between nominal and ordinal scales?

Nominal scale is a naming scale, where variables are simply “named” or labeled, with no specific order. Ordinal scale has all its variables in a specific order, beyond just naming them.

## What is Nominal example?

Nominal. A nominal scale describes a variable with categories that do not have a natural order or ranking. … Examples of nominal variables include: genotype, blood type, zip code, gender, race, eye color, political party.

## Is blood pressure nominal or ordinal?

Most physical measures, such as height, weight, systolic blood pressure, distance etc., are interval or ratio scales, so they fall into the general “continuous ” category. Therefore, normal theory type statistics are also used when a such a measure serves as the dependent variable in an analysis.

## What is real and nominal?

Definitions and Basics Definition: The nominal value of a good is its value in terms of money. The real value is its value in terms of some other good, service, or bundle of goods. Examples: Nominal: That CD costs \$18.

## Is age nominal or ordinal in SPSS?

Age is frequently collected as ratio data, but can also be collected as ordinal data. This happens on surveys when they ask, “What age group do you fall in?” There, you wouldn’t have data on your respondent’s individual ages – you’d only know how many were between 18-24, 25-34, etc.

## Is name nominal or ordinal?

In summary, nominal variables are used to “name,” or label a series of values. Ordinal scales provide good information about the order of choices, such as in a customer satisfaction survey. Interval scales give us the order of values + the ability to quantify the difference between each one.

## Is ordinal qualitative or quantitative?

Data at the nominal level of measurement are qualitative. … Data at the ordinal level of measurement are quantitative or qualitative. They can be arranged in order (ranked), but differences between entries are not meaningful.

## What is nominal scale with example?

A nominal scale is a scale (of measurement) that uses labels to classify cases (measurements) into classes. Some examples of variables that use nominal scales would be religious affiliation, sex, the city where you live, etc. Example. One example of a nominal scale could be “sex”.

## What is scale nominal and ordinal in SPSS?

Nominal, ordinal and scale is a way to label data for analysis. In SPSS the researcher can specify the level of measurement as scale (numeric data on an interval or ratio scale), ordinal, or nominal. … Some of those variables cannot be ranked, some can be ranked but cannot be quantified by any unit of measurement.

## Is age range nominal or ordinal?

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 nominal or ordinal?

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.