# Question: What Kind Of Variable Is Gender?

## What kind of variable is gender in SPSS?

Measure in SPSS A Nominal (sometimes also called categorical) variable is one whose values vary in categories.

It is not possible to rank the categories created.

e.g.

Gender varies in that an individual is either categorised as “male” or “female”..

## What type of variable is blood type?

Categorical vs numerical variables Categorical variable: a variable can only have one value from a limited range of values. For example, blood group and gender are forms of categorical data. The values belong to some sort of category, on the basis of a qualitative property.

## Are names nominal or ordinal?

Nominal basically refers to categorically discrete data such as name of your school, type of car you drive or name of a book. This one is easy to remember because nominal sounds like name (they have the same Latin root). Ordinal refers to quantities that have a natural ordering.

## Is gender a nominal variable?

A categorical variable (sometimes called a nominal variable) is one that has two or more categories, but there is no intrinsic ordering to the categories. For example, gender is a categorical variable having two categories (male and female) and there is no intrinsic ordering to the categories.

## Is age scale ordinal or nominal?

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.

## What type of variable is age and gender?

Gender and race are the two other categorical variables in our medical records example. Quantitative variables take numerical values and represent some kind of measurement. In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values.

## Is age an ordinal variable?

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.

## What type of variable is age?

Mondal[1] suggests that age can be viewed as a discrete variable because it is commonly expressed as an integer in units of years with no decimal to indicate days and presumably, hours, minutes, and seconds.

## What kind of variable is income?

Familiar types of continuous variables are income, temperature, height, weight, and distance. There are two main types of continuous variables: interval and ratio.

## 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.

## Is percentage nominal or ordinal?

Typical descriptive statistics associated with nominal data are frequencies and percentages. Ordinal level variables are nominal level variables with a meaningful order. For example, horse race winners can be assigned labels of first, second, third, fourth, etc.

## 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.

## Is age continuous or categorical?

Age is, technically, continuous and ratio. A person’s age does, after all, have a meaningful zero point (birth) and is continuous if you measure it precisely enough.

## Is income an ordinal variable?

Examples of ordinal variables include: socio economic status (“low income”,”middle income”,”high income”), education level (“high school”,”BS”,”MS”,”PhD”), income level (“less than 50K”, “50K-100K”, “over 100K”), satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”).

## Is hair color nominal or ordinal?

Similarly, hair color is also a nominal variable having a number of categories (blonde, brown, brunette, red, etc.). If the variable has a clear way to be ordered/sorted from highest to lowest, then that variable would be an ordinal variable, as described below.