Variable properties - measure

In the Variable View, use the Measure cell to specify the level of measurement for the variable. Click in the Measure cell to activate a drop-bar list with three elements and select one:

• Scale: Data where the data values are intrinsically meaningful numbers reflecting order and distance. Examples are age in years, temperature in Fahrenheit units, and education as the highest grade completed.
• Ordinal: Categorical data where there is a rank order of categories. Ordinal data can come about through grouping of scale values into broad groups, for example, age groups obtained through binning of ages. In addition, Likert-type items with responses such as Very Satisfied, Somewhat Satisfied, Neither Satisfied Nor Dissatisfied, Somewhat Dissatisfied, and Very Dissatisfied are ordinal in measurement.
• Nominal: Categorical data where the categories are unordered. Examples are marital status and postal code area.

The equivalent syntax is the VARIABLE LEVEL command.