Why is it important to know how many orders of treatments there are when conducting a repeated measures factorial experiment? It is important because _____
a. there must be a sufficient number of participants tested in each order to allow for statistical analysis of carryover effects
b. there should always be at least twenty participants tested in each order so that the power of the experiment is sufficiently great
c. the more orders there are, the lower the power of the experiment is, and the less likely it is that the null hypothesis will be rejected
d. the more orders there are, the fewer degrees of freedom there will be in the ANOVA
A
In order to statistically analyze for the effects of order (and therefore for carryover effects), there must be a sufficient number of participants tested in each possible order.
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