| study_results | R Documentation |
Data table of longitudinal stickiness for the four programs of the case study (Civil, Electrical, Industrial/Systems, and Mechanical Engineering) grouped by program, race/ethnicity, and sex. Provided for the convenience of vignette users.
study_results
data.table with 50 rows and 6 columns:
programCharacter, academic program label.
sexCharacter, sex as self-reported by the student, possible values are Female, Male, and Unknown.
raceCharacter, race/ethnicity as self-reported by the student, e.g., Asian, Black, Latine, etc.
ever_enrolledNumerical, number of students ever enrolled in a program.
graduatesNumerical, number of students completing a program.
stickinessNumerical, program stickiness, the
ratio of graduates to ever_enrolled, in percent.
Longitudinal stickiness is the ratio of the number of students graduating from a program to the number of students ever enrolled in the program over the time span of available data. Results are based on data that have been filtered for data sufficiency, degree seeking, and timely completion.
Other case-study-data:
baseline_mcid,
study_observations,
study_programs
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