Rerunning the Analysis for Little's MCAR Test
- Recall the Missing Value Analysis dialog box.
- Click EM.
- Click OK.
The results of Little's MCAR test appear in footnotes to each EM estimate table. The null hypothesis for Little's MCAR test is that the data are missing completely at random (MCAR). Data are MCAR when the pattern of missing values does not depend on the data values. Because the significance value is less than 0.05 in our example, we can conclude that the data are not missing completely at random. This confirms the conclusion we drew from the descriptive statistics and tabulated patterns.
At this point, because the data are not missing completely at random, it is not safe to listwise delete cases with missing values or singly impute missing values. However, you can use multiple imputation to further analyze this dataset.