Suppose you decided to run multiple independent t-tests as opposed to a one-way ANOVA and subsequent contrasts and/or post hoc tests. How should you correct for the p-value?
A) Apply a Bonferroni correction.
B) No adjustment to the p-value is necessary.
C) You should never use multiple t-tests.
D) Conduct a Levene's adjustment.

Question

Quizplus · Accepted Answer

When running multiple independent t-tests, the probability of a Type I error increases (i.e., rejecting the null hypothesis when it's actually true) because of multiple comparisons. Therefore, it is important to correct for this increased chance of a false positive. The Bonferroni correction is a widely used and conservative method of controlling the family-wise error rate (FWER) by adjusting the alpha level for each test based on the number of tests conducted.

Suppose You Decided to Run Multiple Independent T-Tests as Opposed