t-test for Dependent Samples - Matrices of t-tests

t-tests for dependent samples can be calculated for long lists of variables, and reviewed in the form of matrices produced with casewise or pairwise deletion of missing data, much like the correlation matrices option. Thus, the precautions discussed in the context of correlations also apply to t-test matrices; specifically:

a. The issue of artifacts caused by the pairwise deletion of missing data in t-tests and

b. The issue of "randomly" significant test values.