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22 Chapter 2<br />

Categorical Regression Missing Values<br />

The Missing Values dialog box allows you to choose the strategy for handling missing<br />

values in analysis variables and supplementary variables.<br />

Figure 2.4 Categorical Regression Missing Values dialog box<br />

Strategy. Choose to impute missing values (active treatment) or exclude objects with<br />

missing values (listwise deletion).<br />

Impute missing values. Objects with missing values on the selected variable have<br />

those values imputed. You can choose the method of imputation. Select Mode to replace<br />

missing values with the most frequent category. When there are multiple<br />

modes, the one with the smallest category indicator is used. Select Extra category to<br />

replace missing values with the same quantification of an extra category. This implies<br />

that objects with a missing value on this variable are considered to belong to the<br />

same (extra) category.<br />

Exclude objects with missing values on this variable. Objects with missing values<br />

on the selected variable are excluded from the analysis. This strategy is not available<br />

for supplementary variables.

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