**Pairwise
**pairwise deletion analyses all cases in which the variables of interest are present and thus maximizes all data available by an analysis basis. A strength to this technique is that it increases power in your analysis but it has many disadvantages. It assumes that the missing data are MCAR. If you delete pairwise then you’ll end up with different numbers of observations contributing to different parts of your model, which can make interpretation difficult.