Hi all, I have to present a research proposal for a job interview. I want to see the effects of value-reminder pictures near the healthier food on dietary intake. Dependent variable is the sales in healthy food.
1. group: will see the pictures of family, travel etc. to remember their values, the healthier option will be closer to the entrance as proximity affects the decision.
2. group: will only have the healthier option closer to the entrance of cafeteria, so testing only proximity effect.
3. group: No intervention
Should I use regression or anova? Is there anything specific I need to do because the 1st group's intervention has 2 components? Can I call it randomised controlled trial? Any help will be appreciated. Thank you!
The normality assumption of the residuals applies to regression AND the ANOVA approach, both are part of the general linear model, so this is not a distinction to decide which one to use. I would use an ANOVA, since it is typically used for experimental data and directly handles and shows mean differences between the groups. So it is easier to conduct and interpret.
Strictly speaking: you can get the exact same results with the regression approach, but you have to some form of dummy coding to handle the groups, since predictors in regression have to be metric or dichotomous. So it is more work to do and a bit more difficult to get the relevant information if you are not used to multiple regression. But it works, too.
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