From Innovation to Impact: How Higher Education Can Evaluate Innovation's Impact and More Precisely Scale Student Support

[...]using attendance data from the institution's tracking system, we identified the list of students who visited the ACCelerator and considered those students the pilot or program participant group. Since access to the ACCelerator is open to all students, we considered the eligible control group (the group of students valid for PPSM matching) to be all other students who did not visit the ACCelerator during the same term. In the case of the analysis of THINK TANK services, there was interest in applying, enhancing, and automating this methodology to control for selection bias. [...]the next step in UA's analysis-in partnership with Civitas Learning-was automating the ability to run PSM with the added rigor of using a prediction as part of propensity score matching-PPSM. [...]we identified the list of students who used THINK TANK services each term and considered those students the pilot or program participant group. [...]overall, these findings provide support for the continued investment in services that have proven to help students and improve outcomes for wider institutional leadership.