# What is ordinal variable in SPSS?

Table of Contents

## What is ordinal variable in SPSS?

A variable can be treated as ordinal when its values represent categories with some intrinsic ranking (for example, levels of service satisfaction from highly dissatisfied to highly satisfied).

## What is a continuous variable in SPSS?

In theory, continuous variables are variables that can take on any numerical value within their range. In practice, variables that take on a large number of different values within their range are treated as continuous.

## What is a interval variable?

An interval variable is a one where the difference between two values is meaningful. The difference between a temperature of 100 degrees and 90 degrees is the same difference as between 90 degrees and 80 degrees. A ratio variable, has all the properties of an interval variable, but also has a clear definition of 0.0.

## What is a string variable in SPSS?

String variables are one of SPSS’ two variable types. A simpler definition is that string variables are variables that hold zero or more text characters. String values are always treated as text, even if they contain only numbers. Some surprising consequences of this are shown towards the end of this tutorial.

## How do you know if a variable is ordinal?

An ordinal variable is similar to a categorical variable. The difference between the two is that there is a clear ordering of the categories. For example, suppose you have a variable, economic status, with three categories (low, medium and high).

## What are examples of interval variables?

An interval scale is one where there is order and the difference between two values is meaningful. Examples of interval variables include: temperature (Farenheit), temperature (Celcius), pH, SAT score (200-800), credit score (300-850).

## What type of variable is age SPSS?

demographic variable

Age is a key demographic variable, frequently recorded in survey data as part of a broader set of demographic variables such as education, income, race, ethnicity, and gender.

## How do you analyze continuous variables?

As with discrete variables, the statistical analysis of continuous variables requires the application of specialized tests. In general, these tests compare the means of two (or more) data sets to determine whether the data sets differ significantly from one another.

## What are the main types of variables?

There are six common variable types:

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

## Is income an ordinal variable?

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.

## What type of variable is year?

A year variable with values such as 2018 is evidently quantitative and numeric (I don’t distinguish between those) and ordered (2018 > 2017 > 2016) and also interval in so far as differences such as 2017 − 1947 are well defined (as indeed we all know from childhood in working with people’s ages).

## How to calculate the weight of a variable in SPSS?

Let’s call our new variable BMI. (Alternatively, you can double-click on the variable names in the left column to move them to the Numeric Expression field, and then write the expression around them.) This expression says that the new variable will be calculated as variable Weight multiplied by 703, divided by the square of variable Height.

## How to change the name of a variable in SPSS?

Type your new variable name. The type of variable (e.g. numeric, string, etc.). (See the Variable Types tutorial for descriptions of the variable types in SPSS.) To change a variable’s type, click inside the cell corresponding to the “Type” column for that variable.

## How to transfer a variable to a condition in SPSS?

1. If your variable includes text values, make sure that the numeric values appear onscreen. 2. Identify range of desired values (using the Utility/Variablesfunction). 3. Select Data/Select Cases 4. Select “if condition is satisfied” and click on the Ifbutton. 5. Select variable list and click on right arrow button to transfer to condition field.

## How do you dichotomize a variable in SPSS?

Dichotomizing a Variable in SPSS Filtering Out Missing Values 1. If your variable includes text values, make sure that the numeric values appear onscreen. 2. Identify range of desired values (using the Utility/Variablesfunction). 3. Select Data/Select Cases 4. Select “if condition is satisfied” and click on the Ifbutton. 5.