Question

Why do you need to apply a multiple comparisons correction in Simple effects analysis?

a) To reduce Type II error
b) To control for inflated Type I error
c) To increase statistical power
d) To adjust for unequal sample sizes

Answer 1

In Simple effects analysis, applying a multiple comparisons correction is important to control for inflated Type I error.

Step-by-step explanation:

When conducting Simple effects analysis, it is important to apply a multiple comparisons correction in order to control for inflated Type I error.

Multiple comparisons occur when you compare multiple groups or conditions, and if you do not apply a correction, the probability of making a Type I error (false positive) increases. This means that you may mistakenly conclude that there is a significant effect or difference when there is not.

By applying a multiple comparisons correction, such as the Bonferroni correction, you adjust the significance level for each comparison, reducing the likelihood of making a Type I error and ensuring the validity of your results.