In a within-subjects design:
a. larger effect sizes are needed to reject the null hypothesis.
b. smaller treatment differences are needed to reject the null hypothesis.
c. a smaller F is needed to reject the null hypothesis.
d. the variability of scores in each condition is reduced.
Question 2
In a within-subjects design, as compared to a between-subjects design, you are:
a. less likely to reject the null hypothesis.
b. more likely to make a Type II error.
c. more likely to obtain a small F ratio.
d. more likely to obtain a large F ratio.
A hypothetical example of the bottleneck effect.
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