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When the data present lack of information (gaps), i.e., are not complete. Hence, it is important to consider this feature when performing an analysis or test.
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Should multiplicity be addressed when doing preliminary examination of missingness?
When dealing with missing data, one recommended initial step is to examine the effect of the missingness in each variable on the other variables. This entails doing multiple tests where a significant …