In most studies, you should avoid multiple testing of the same subject because it may skew performance statistics and underestimate standard deviations. When multiple testing is done, you should explain why it is necessary and choose methods of statistical analysis that allow adjustment for within-subject correlation. It is appropriate to conduct repeated testing of the same sample to evaluate test reproducibility, such as the ability of the test to yield the same or similar readings when expected.