Published with written permission from SPSS Statistics, IBM Corporation. Looking at the columns on the left we can see that we have created a “grouping variable” called “Gender” that has two categories: “1” and “2”.

## What kind of variable is gender in SPSS?

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.

## Is gender nominal or ordinal in SPSS?

Generally, for an analysis, represent all options in a close-ended questionnaire in the form of numbers by coding them. “Gender” can be “Male” or “Female” but do not give “M” or “F”. Define the options as 1= Male; 2= Female. Therefore we keep the **option under “Measure” as “Nominal” only**.

## Is gender a string or numeric variable?

Example: Nominal categorical variables that have been coded numerically (e.g., recording a subject’s gender as 1 if male or 2 if female) should be treated as **numeric** variables with zero decimal places.

## What are the 5 types of variables?

**There are six common variable types:**

- DEPENDENT VARIABLES.
- INDEPENDENT VARIABLES.
- INTERVENING VARIABLES.
- MODERATOR VARIABLES.
- CONTROL VARIABLES.
- EXTRANEOUS VARIABLES.

## What are 3 types of variables?

These changing quantities are called variables. A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: **independent, dependent, and controlled**.

## How do you classify a variable?

Classifying variables can be somewhat contentious. Standard statistical textbooks will state that variables can be broadly classified as **categorical or continuous**. Categorical variables can be further categorised into nominal (e.g. ethnic group), ordinal (e.g. tumour staging) and dichotomous (e.g. sex).

## Is income nominal or ordinal?

For example, income is a variable that can be recorded on an **ordinal** or a ratio scale: At an ordinal level, you could create 5 income groupings and code the incomes that fall within them from 1–5. At a ratio level, you would record exact numbers for income.

## Is Gendernominal or ordinal?

A variable measured on a “nominal” scale is a variable that does not really have any evaluative distinction. One value is really not any greater than another. A good example of a **nominal variable** is sex (or gender).

## Is age a string variable?

Variables come in two basic types, viz: numeric and string. Variables such as age, height and satisfaction are numeric, whereas name **is a string variable**. String variables are best reserved for commentary data to assist the human observer. However they can also be used for nominal or categorical data.

## Is age a string or numeric variable?

In statistics, there are broadly 2 types of variables: **Numerical variables**: Numbers which should be treated as they usually are in mathematics. For example, age and weight would be considered numerical variables, while phone number and ZIP code would not be considered numerical variables.

## What is numeric variable?

Numeric variables have **values that describe a measurable quantity as a number**, like ‘how many’ or ‘how much’. Therefore numeric variables are quantitative variables. Numeric variables may be further described as either continuous or discrete: A continuous variable is a numeric variable.