Rerunning the Analysis to Display Patterns

Figure 1. Missing Value Analysis dialog box
The Missing Value Analysis main dialog box. MaritalStatus, EducationalLevel, RetirementStatus, and Gender are selected as categorical variables. The rest are selected as quantitative variables.
  1. Recall the Missing Value Analysis dialog box. The dialog remembers the variables used in the previous analysis. Do not change them.
  2. Click Patterns.
    Figure 2. Missing Value Analysis Patterns dialog box
    The Missing Value Analysis Patterns dialog box. Options for tabulated cases is selected, and additional information is selected for Income, EducationalLevel, RetirementStatus, and Gender.

    In the Patterns dialog box, you can select various patterns tables. We are going to display tabulated patterns grouped by missing values patterns. Because the missing patterns in ed (Level of education), retire (Retired), and gender (Gender) seemed to influence the data, we will choose to display additional information for these variables. We will also include additional information for income (Household income in thousands) because of its large number of missing values.

  3. Select Tabulated cases, grouped by missing value patterns.
  4. Select income, ed, retire, and gender and add them to the Additional Information For list.
  5. Click Continue.
  6. In the main Missing Value Analysis dialog box, click OK.

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