Running the Analysis to Display Descriptive Statistics

  1. To run the Missing Value Analysis, from the menus choose:

    Analyze > Missing Value Analysis...

    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.
  2. Select Marital status [marital], Level of education [ed], Retired [retire], and Gender [gender] as the categorical variables.
  3. Select Months with service [tenure] through Number of people in household [reside] as quantitative (scale) variables.

    At this point, you could run the procedure and obtain univariate statistics, but we are going to select additional descriptive statistics.

  4. Click Descriptives.
    Figure 2. Missing Value Analysis: Descriptives dialog box
    The Missing Value Analysis Descriptives dialog box. Percent mismatch and t tests are selected.

    In the Descriptives dialog box, you can specify various descriptive statistics to display in the output. The default univariate statistics can help you to determine the general extent of the missing data, but the indicator variable statistics offer more information about how the pattern of missing data in one variable may affect the values of another variable.

  5. Select t tests with groups formed by indicator variables.
  6. Select Crosstabulations of categorical and indicator variables.
  7. Click Continue.
  8. In the main Missing Value Analysis dialog box, click OK.

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