Quick Answer: What Type Of Variable Is Age In SPSS?

Is age nominal or ordinal?

Age is frequently collected as ratio data, but can also be collected as ordinal data.

Variables that are naturally ordinal can’t be captured as interval or ratio data, but can be captured as nominal..

How do I combine two variables in SPSS?

How to Combine Variables in SPSSPull Up Data. Go to “File” in the tool bar at the top of the page in SPSS. … Add Variables Together. Click the “Transform” menu at the top of the window and select “Compute” from the drop-down menu to open the Compute Variable dialog box. … Multiply Variables. Go to “Transform” in the tool bar at the top of the SPSS page.

How do I compare two variables in SPSS?

Using the Compare Means Dialog WindowOpen Compare Means (Analyze > Compare Means > Means).Double-click on variable MileMinDur to move it to the Dependent List area.Click Options to open the Means: Options window, where you can select what statistics you want to see. … Click OK.

What variable should be kept constant?

There must be an independent variable, which changes throughout the course of an experiment; a dependent variable, which is observed and measured; and a controlled variable, also known as the “constant” variable, which must remain consistent and unchanging throughout the experiment.

How do you categorize age groups?

The age groups are defined by the following ages/grades:Children: <18, <11 or k - 7th grade.infants: <1.teens: 12-17 7th-12th grade.adults: 18+elderly: 65+

What type of variable is nationality?

Categorical variables can be sub-classified as nominal or ordinal with ordinal variables have a natural ordering, whereas nominal variables do not. Gender, Diabetes and Race/Ethnicity were nominal categorical variables, they have no natural order and individuals can only be put into categories for these variables.

How do you tell the difference between nominal and ordinal?

Examples of nominal data include country, gender, race, hair color etc. of a group of people, while that of ordinal data include having a position in class as “First” or “Second”. Note that the nominal data examples are nouns, with no order to them while ordinal data examples comes with a level of order.

What are the 3 types of 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.

What type of variable is a percentage?

Nominal variables are often summarized as proportions or percentages. For example, if you count the number of male and female A.

What are the two types of variables?

There are three main types of variables in a scientific experiment: independent variables, which can be controlled or manipulated; dependent variables, which (we hope) are affected by our changes to the independent variables; and control variables, which must be held constant to ensure that we know that it’s our …

What kind of variable is height?

A variable that is “a number”. Age, height, score on an exam, response on a Likert scale on a survey are all continuous variable. It can be ordinal, interval or ratio types. Examples of continuous variables are blood pressure, height, weight, income, and age.

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 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 type of variable is income?

Continuous Variables A continuous variable can take on any score or value within a measurement scale. In addition, the difference between each of the values has a real meaning. Familiar types of continuous variables are income, temperature, height, weight, and distance.

Is gender nominal or ordinal in SPSS?

Measure in SPSS It is not possible to rank the categories created. e.g. Gender varies in that an individual is either categorised as “male” or “female”. An Ordinal variable is one where it is possible to rank the categories or put them in an order. The intervals between the categories used are not defined.

Is money nominal or ordinal?

In essence, a ratio scale can be thought of as nominal, ordinal, and interval scales combined as one. For example, the measurement of money is an example of a ratio scale.