Evaluation of a Multiple Measures Placement System Using Data Analytics: Final Impact Findings
To evaluate the impact of a multiple measures placement system on student outcomes, the authors initiated an experimental study in partnership with seven community colleges in the State University of New York (SUNY) system. At each college, multiple measures algorithms were created to predict student success in college-level math and English courses.
This presentation has three aims: (1) to explain how multiple measurement algorithms were created and how the multiple measures placement system was implemented; (2) to discuss the sample and study methodology, including descriptions of the relevant characteristics of the participating community colleges and students; and (3) to present final impact findings from a randomized control trial (RCT) comparing the effects on student outcomes of placing students into remedial or college-level courses using either a multiple measures system or a status quo system that uses just placement test scores.
Elizabeth Kopko, CCRC and CAPR
Date and Time:
March 12, 2020
2 PM–3:30 PM
Renaissance Capital View | Salon 7