Categorical Regression Missing Values

The Missing Values dialog box allows you to choose the strategy for handling missing values in analysis variables and supplementary variables.

Strategy. Choose to exclude objects with missing values (listwise deletion) or impute missing values (active treatment).

• Exclude objects with missing values on this variable. Objects with missing values on the selected variable are excluded from the analysis. This strategy is not available for supplementary variables.
• Impute missing values. Objects with missing values on the selected variable have those values imputed. You can choose the method of imputation. Select Mode to replace missing values with the most frequent category. When there are multiple modes, the one with the smallest category indicator is used. Select Extra category to replace missing values with the same quantification of an extra category. This implies that objects with a missing value on this variable are considered to belong to the same (extra) category.

To Specify CATREG Missing Values

This feature requires the Categories option.

1. From the menus choose:

   Analyze > Regression > Optimal Scaling (CATREG)...

2. In the Categorical Regression dialog box, click Missing.
3. Select the variable(s) for which you want to change the method of handling missing values and choose the method(s).
4. Click Change.
5. Repeat until all variables have the method you want.
6. Click Continue.