Student record data are from MIDFIELD, a database of registrars' data from US institutions. The stratified data sample includes demographic, term, course, and degree information for 98,000 students from 1987 to 2016. The midfieldr package provides functions for determining persistence metrics such as graduation rates and for grouping findings by institution, program, sex, and race/ethnicity. The goal of the workshop is to share our data, methods, and metrics for intersectional research in student persistence. The workshop is designed for R beginners.

Richard Layton (Rose-Hulman Institute of Technology), Russell Long; Susan M. Lord (University of San Diego), Marisa K. Orr (Clemson University), Matthew W Ohland, Hossein Ebrahiminejad, and Hassan Ali Al Yagoub (Purdue University)

10.16.19: 5-8 PM, Sessions Room