The newly developed UDRQ has stable structure and good reliability and can be a useful tool in subsequent research related to student burnout. The findings suggest the demand-resource theory is an appropriate framework to predict burnout in higher education. Structural equation modeling analysis indicated that all five demands and two resources subscales can be used to build a model that predicts a significant proportion of the variance of student burnout scores. Correlation analysis revealed burnout to be associated positively to the subscales of demands and negatively to resources. The confirmatory factor analysis identified a five-factor structure related to both demands and resources. In the data analysis procedure, confirmatory factor analysis, correlation analysis, and structural equation modeling were utilized. The student version of the Maslach Burnout Inventory was used in addition to the UDRQ. Using the online survey method, 743 Hungarian undergraduate students participated in the data collection. The study aimed to analyze the structure and reliability of the newly developed University Demand-Resource Questionnaire (UDRQ) and to explore the links between its subscales and symptoms of student burnout. Although numerous studies claim its suitability in explaining burnout in work environments, its applicability in the educational context is less explored. The job demand-resource model of burnout is a comprehensive framework to grasp the factors related to the emergence of burnout. It is associated with harmful consequences, such as decreased engagement, performance, and motivation, which can lead to dropout. Student burnout is a serious problem in higher education.
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