Anonymized Dataset for Class Time and Academic Performance Study

This dataset includes anonymized performance and engagement data from 192 students enrolled in an undergraduate supply chain management course across seven in-person sections. All sections were taught by the same instructor using identical materials and assessments, differing only by class meeting time (day vs. evening). Variables include quiz totals, project scores, midterm and final exam scores, attendance, participation, final course grades, and demographic information (gender, academic year level). Class time is coded to compare day (0) and evening (1) sections. The dataset was used to analyze whether engagement mediates the relationship between class time and academic performance.