A marketing researcher was interested in the effects of types of imagery (positive, negative or neutral) on perceptions of different types of drink (beer, wine, water). Participants viewed videos of different drink products in the context of positive, negative or neutral imagery and then rated the products on a scale from –100 (extremely dislike) through 0 (neutral) to 100 (extremely like). Those who identify as men and women might respond differently to the products, so participants selfreported their gender (a between-group variable). The data are in the file mixed_attitude.sav. Analyse the data to see whether there is a combined effect of imagery, drink and gender on ratings of the products.