Identifying "Fit-for-Purpose" Data for Predictive Validity Studies to Inform Postsecondary Admissions Decisions

• In Event: Poster Session 5
  In Poster Session: Identifying Fit-for-Purpose Data Validity Studies to Inform Postsceondary Admissions Decisions

Abstract

Whilst college readiness continues to dominate the educational landscape in the US, students still leave high school not ready for college. As a consequence, admissions offices need to consider all available indicators (e.g., high school performance; admissions tests; college preparatory courses) in order to effectively evaluate prospective student applications. Predictive validity studies are one of the inherent mechanisms in the admission process and can be used to predict college performance and success. However, such studies are ultimately guided by the availability of data. This paper seeks to investigate the availability and content of sources of secondary and postsecondary education data in the US that are ‘fit-for-purpose’ for informing postsecondary admissions policy and decision making.

Authors

• Stuart Duncan Shaw, Cambridge Assessment

• Carmen Vidal Rodeiro, Cambridge Assessment