When might you be more likely to select a Latin-square order over complete counterbalancing? O a. When you have too many experiments O b. When you have too many participants O c. When you have too many factors O d. When you have too many conditions A researcher tests the effect of caffeine on driving ability in a repeated-measures design. They test the participants in 3 conditions: pre-caffeine, 10 mins after caffeine has been consumed, and 30 minutes after caffeine has been consumed. Assuming no attrition, if the total sample size were 90, what would the N be for the 'pre-caffeine' condition O a. Not enough information to calculate this O b. 60 O c. 30 O d. 90 What does the observation of a significant interaction between two variables tell us? O a. that both of the main effects will be significant O b. it does not tell us about the significance of the main effects O c. that neither main effect will be significant O d. that only one of the main effects will be significant A researcher wants to look at how well individuals perform on putting accuracy. They expect that over time, their participants will improve as they practice the task. They measure the participants at baseline (0 months), 6 months, 12 months, 18 months, and 24 months. What would be the best way for the researcher to statistically test whether individuals were improving over time? O a. Post-hoc tests O b. Polynomial contrasts O c. ANOVA main effects O d. Orthogonal contrasts