Data supporting a paper on the use of institutional data for statistical matching methods, using an example of enrolment in an optional transition course

Anonymised data listing student who have or have not enrolled in an optional transition course, alongside selected demographic characteristics, in binary values, and whether they passed year 1 or not at a case-study university. There are 10 variables for 24,411 students, between 2017/18 and 2022/23. These data are used to demonstrate the potential value of institutional data for statistical matching methods (propensity score matching and doubly robust estimation) in higher education evaluation.