If you have an eta squared of .34 and used a between-subjects design, what does that tell you about the relationship between the Independent and Dependent Variable? How would it be different for a within-subjects design?
since
0.34 that implies only 34 % variation in the dependent variable is
explained by between S.S (Treatment S.S)
The remaining 1-0.34 = 0.66 that is 66% of variation is unexplained variation that is variation due to Within sum of squares
If you have an eta squared of .34 and used a between-subjects design, what does that...
. propose a between-subjects experimental design to test the relationship. The IV and DV are already identified for you. Please explain how you would investigate the relationship by including: (1) your hypothesis (.e., what do you expect to happen), (2) an operational definition for your dependent variable (i.e., how will you test the variable), (3) the population (who do you want to recruit and why), (4) the levels of the IV (how many, what they are, and why), and (5)...
For each of the 3 following relationships, propose a within-subjects design that utilizes counterbalancing. • For each relationship, please explain how you would investigate the relationship by including: 1. your hypothesis (i.e., what do you expect to happen), 2. an operational definition for your dependent variable (i.e., how will you test the variable), 3. the population (who do you want to recruit and why), 4. the levels of the IV (how many, what they are, and why), 5. your study...
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