"To study the tendency of food intake behavior that moves according to the changes of social structure, I surveyed the images of dishes. The survey was conducted in December, 1993,with the cooperation of eighty-nine students of the Nutrition Course at Tezukayama Junior College, and ninety-six mothers whose daughters attend the college. To investigate the changes of dietary behavior as time goes on, we used the same method that we had in 1982,and compared the result with that in 1982. The method of our survey was based on the system of seven score evaluation by S. D method and the following results are noted : 1) The mean age of the student group is 19.7 years and that of the mother group is 45.8. The discrepancy of age among the mother group is 18 years. 2) The patterns by categorical words are classified into three types; Type A is represented by the image of \u27tasty\u27 ∿ \u27dislike\u27. Type B is represented by the image of \u27low-priced\u27 ∿ \u27high-priced\u27. Type C is represented by the image of \u27modern\u27 ∿ \u27classic\u27. 3) The characteristic of Type A is that the scores tend to converge on one response, and the range in which the students chose the items in the questionnaires is becoming a little bit narrower. This pattern is found in all the twelve kinds of dishes. 4) The characteristic of Type B is that the scores converge on the center. Compared with the results of 1982,however, the range of distribution of the responses the students made has become broad. Generally, the sense of economy students show when they buy foodstuffs seems to have become keen. 5) The characteristic of Type C is that a wide distribution in the choice of items. As for the scale of \u27modern\u27 &acd \u27classic\u27, the image the mothers have concerning \u27modern\u27 is that of new dishes. In contrast the students do not have such an image as the mothers do. 6) In conclusion, an x-axis of the first factor can be termed a \u27foreign-traditional\u27 factor, and a y-axis of the second factor an \u27economic\u27 one by a factor analysis.