This study investigates the asymmetric effects of quality attributes on student satisfaction in Korean higher education. Using Penalty-Reward-Contrast and Asymmetric Impact-Performance Analysis, it classifies attributes into basic (major and liberal arts curriculum, non-curricular courses, educational environment), one-dimensional (administrative services, academic system), and attractive (student support) factors. As a result of AIPA analysis, for the improvement of education quality, the most effective strategy is to set the priority of resource allocation in the order of basic, one-dimensional, and attractive factors. The study proposes a proportional odds logit model for more accurate classification, contributing a new perspective to the discourse on educational quality and satisfaction.