When a particular variable is missing in an observation or row, then we delete an entire row. This is called List wise deletion. When the analysis is performed with all cases of a variable and then only those variable instances are deleted and not the entire row. This is called Pairwise deletion. This works like a correlation matrix. Generally, pairwise deletion is preferred over listwise deletion as listwise deletion removes the entire row for a particular missing variable.