Numeric that has at least one value label that is not defined as a user-missing value

Single-response categorical

When generating an MDM document from the .sav file or accessing the case data with no metadata, the SPSS Statistics SAV DSC generates categories for all labeled values, including those defined as user-missing. The SPSS Statistics SAV DSC then scans the case data and generates categories for any data values that do not have a corresponding value label. However, you can stop the SPSS Statistics SAV DSC from scanning the case data and generating categories. For more information, see Determining categoriesD.

Numeric that has a decimals format of 0 (except for COMMA, DOT, and DOLLAR variable types), and that has either no value labels or only value labels that are defined as user-missing values

Long

When generating an MDM document from the .sav file or accessing the case data with no metadata, the SPSS Statistics SAV DSC identifies all IBM SPSS Statistics numeric 1.0 variables (that have no value labels or only value labels that are defined as user-missing values) as MDM long variables. To force the SPSS Statistics SAV DSC to interpret one or more of these variables as MDM boolean variables, use the NumericAsBool proprtyy (see Properties and settings used by the SPSS Statistics SAV DSC).

Numeric that has a decimals format of greater than 0 (except for COMMA, DOT, and DOLLAR type; these variable types are always treated as double), and that has either no value labels or only value labels that are defined as user-missing values

Double