New questionnaire has 62 foods scored into a great 9-area spread semantic differential level secured from the hate most and you may instance really that have separate alternatives for never attempted and you may wouldn’t was. Because of it investigation, item scores was indeed summated to create a total preference score; another type of rating having never attempted/won’t is has also been computed. Preference solutions was indeed dichotomized on such as (?5) and you can hate (?4) classes. Discerning taste activities was achieved by summing taste results to own eg and dislike categories and breaking up for every single of the number of dinner belongings in each category to help make Restaurants Such as for example and you may Restaurants Dislike Indices . Taste results for hated delicacies was reversed so you can calculate the hate directory providing unidirectional interpretation regarding both indicator.
