QUESTION 4 Each of the following represent strenghts of repeated measures designs as compared to between subjects designs EXCEPT: The within-condition variance is reduced given its ability to partial out variance attributed to individual differences 0 The sample size needed to detect significant differences is smaller 0 They are not susceptible to ordering effects 0 They are better suited for studies using longitudinal designs QUESTION 5 A researcher completed an exploratory study of how a new relationship skills workshop is associated with relationship efficacy among LGBTQ+ individuals. Specifically, the researcher tested (1) the new relationship workshop, which considered diverse relationship structures (e.g., consensual nonmonogamy, friends with benefits, situationships, etc.); (2) an older relationship workshop that only examined monogamous relationship structures; (3) a waitlist control. While the researcher didn't have any preconcieved hypotheses, they were curious about how the new workshop fared against the other two conditions. Based on this information, which analysis should the researcher use? O A between subjects ANOVA using Tukey's procedure O A between subjects ANOVA using Scheffe's procedure O A between subjects ANOVA using planned comparisons (contrasts) O A between subjects ANOVA using Dunnett's procedureQUESTION 7 Which of the following is M true regarding the composite DV in a multivariate analysis? 0 The composite DV is built in a way that maximizes group differences between the levels of the IV 0 There will be differene composite DVs for each effect in a factorial ANOVA O The composite DV is not meant to be interpreted 0 None - all of the above are true