Independent-Samples Proportions: Missing Values
The Missing Values dialog provides options for dealing with missing values.
- Missing Data Scope
-
- Exclude cases analysis by analysis
- Indicates inclusion of all cases with sufficient data on the variables used in each particular analysis. This is the default setting.
- Exclude cases listwise
- Indicates inclusion of all cases with sufficient data on all variables used across all analyses.
- User Missing Values
- Exclude treats user missing values as missing. Include ignores user missing value designations and treats user missing values as valid.
Defining missing value settings for Independent-Samples Proportions
This feature requires the Statistics Base option.
- From the menus choose:
- In the Independent-Samples Proportions dialog, click Missing Values.
- Select the desired missing values settings.