CH5 Terms: coefficient omega (p. 94) concurrent validity (p. 98) construct validity (p. 96) content validity (p. 97) convergent validity (p. 98) Cronbach's alpha (p. 94) discriminant validity (p. 98) face validity (p. 96) internal consistency reliability (p. 94) inter-rater reliability (p. 95) interval scale (p. 101) measurement error (p. 91) nominal scale (p. 101) ordinal scale (p. 101) Pearson correlation coefficient (p. 93) predictive validity (p. 97) ratio scale (p. 102) reactivity (p. 99) reliability (p. 90) split-half reliability (p. 95) test-retest reliability (p. 93) true score (p. 91) CH10 Terms: Review: 1. What is a reversal design? How is an ABAB design superior to an ABA design? 2. What is meant by baseline in a single case design? 3. What is a multiple baseline design? Why is it used? Distinguish among multiple baseline designs across participants, across behaviours, and across situations. 4. List five types of program evaluation research questions. What research goals does each address? 5. Why might a researcher use a quasi-experimental design rather than a
true experimental design? 6. Why does adding a control group eliminate some problems associated with the one-group pretest-posttest design? 7. Describe the threats to internal validity discussed in this chapter. How do they threaten internal validity? 8. Describe the non-equivalent control group pretest-posttest design. What makes this design a quasi-experiment rather than a true experiment? 9. Contrast the interrupted time series from the control series designs. Which design provides stronger evidence? Why? 10. Compare the features, advantages, and disadvantages of longitudinal, cross-sectional, and sequential methods. In which of these designs are cohort effects problematic? Explain your rationale. CH11 Terms: cell (p. 213) = represent the mean number of dependent variables being observed (mean # of candies people ate) Factor = IV factorial design (p. 212) = experimental design that has more than 1 IV, with at least 1 DV, measuring the IVs in the same study (alcohol and caffeine, not a study about alcohol, and another study about caffeine) interaction (p. 213) = the effect of 1 IV on the DV depends on the level of the other IV IV x PV design (p. 218) = common type of factorial design - has manipulated (experimental) and non-manipulated (non exp) variables levels (p. 210) = number of groups/conditions for each IV (thin or fat, many candies, less candies) main effect (p. 213) = effect that one IV has on the DV while ignoring the levels of the other IVs - analysed across cells (is the average performance for 1 hour different from 24 hours? marginal mean (p. 213) = mean score of ps at each level of variables mixed factorial design (p. 219) = uses both between and within subjects design - half of ps assigned to IV A receive both IV B1 and IV B2, while the the other half assigned to IV receive the same IV B1 and IV B2 moderator variable (p. 215) = influence relationship between the two other IVs (body type of confederate is moderator variable