Data for Effects of Random Accountability Group Learning on Tertiary Students' Achievement in Implicit Differentiation

This dataset contains the anonymized participant-level data supporting the study titled “Effects of Random Accountability Group Learning on Tertiary Students’ Achievement in Implicit Differentiation.” The study involved 100 tertiary mathematics students randomly assigned to a Random Accountability Group Learning (RAGL) condition or an individual-learning condition. The dataset includes the variables used to examine students’ achievement in implicit differentiation, including instructional condition, pretest achievement, and posttest achievement. The data support the descriptive statistics, ANCOVA, adjusted mean comparisons, and heteroskedasticity-robust analysis reported in the manuscript.