In our study that would be a good thing because it would be stronger if the likest-scale scores did not arise from the order in which they listened to them. 8 or higher in order to reject the null hypothesis, right? That would then mean we fail to reject the null hypothesis that order of ad delivery affected the evaluation scores. That suggest the effect size is quite minimal and only accounts for. 8 - if I understand, we need to determine Eta-squared for each prompt to to estimate the likelihood of the order accounting for the variance between the three treatments (order they listened to the ads, ABC, BCA, CAB).Īfter running ANOVA for Likest-Scale responses (1-5) for our first prompt (“This ad was easy to understand”) against the treatment (order of ad delivery) we have the Sum Sqaure Between Groups =. We just wanted to be able to determine, if possible, whether or not the order of the ads influenced responses).įollowing what you said about power, “1-beta”, and.

(Following that wa a qualitative interview, which is the heart of the project. Last, they will listen and evaluate the third ad.

Then they listen to a second ad and evaluate (those who listen to A first will now listen to B those who listened to B first will now listen to C those who listened to C first will now listen to A). For example the first prompt asks if the ad was easy to understand and they rank from 1-5. They listen to one ad as assigned (10 listen to ad A first, 10 listen to ad B first, and 10 listen to ad C first) and then fill out a likest-scale evaluation of it. In the study we are working on, participants are listening to a total of three advertisements. I think understand and am mentally pulling together some stats concepts I hadn’t considered before you responded.

What does a high sample variance mean