There are only two variables considered outcome variables for the research study, which are also translated into LARC format.

- number of terms to graduation: FIRST_TERM_ATTND_CD; UM_DGR_1_ED_LVL_CD
- cumulative GPA at key policy points in college: CUM_GPA; ACAD_LVL_BOT_SHORT_DES; ACAD_LVL_EOT_SHORT_DES

University of California, Berkeley

The research study paper from the University of Michigan defines the markers of nontraditional students as predictor variables to test their hypotheses, which are also translated into LARC format.

- age 20 and above: STDNT_BIRTH_YR (students below 20 years old do not count)
- first generation students: PRNT MAX ED LVL DES (non-first generation students do not count)
- international students: STDNT_CTZN_STAT_CD (domestic students do not count)
- lower income students: EST GROSS FAM INC DES (students with income above 75k do not count)
- part-time students: ACAD_LOAD_SHORT_DES (full-time students do not count)
- students from single-parent households: SNGL PRNT IND (students from other households do not count)
- transfer students: ENTRY_TYP_SHORT_DES (freshmen students do not count)
- underrepresented minorities: STDNT UNDREP MNRTY IND (students of majority ethnicities do not count)
- veteran students: ADMSSN_VTRN_IND (non-veterans do not count)
- athlete students: ATHLTC_PRTCPT_SPORT_SHORT_DES (non-athletes do not count)

Predictor Variables in LARC

Nontraditional Undergraduate Student Data Analysis 2019 CEW+ Report (Sornum, 2019).

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