So, I have some survey data which asks different groups of consumers how favorable they view certain products (e.g., food products, clothes products, and beauty products). I want to compare the number of "very favorable" answers across product groups. For this, I plan to collapse individual products to retain these 3 main categories and then compare mean number of "very favorable" answers between product categories. Does this suffice as continuous data for a one-way ANOVA?
I know measuring strictly the number of "very favorable" answers without taking into consideration other answers sounds useless, but it is useful for the research I am doing.