CodeBook for “The PhD Pipeline Initiative Works”
Ryan Brutger 12-2-2022

The following provides the coding rules for the variables used in the analysis

Enrolled: an indicator variable for whether a student had enrolled AND completed the PIPS program when they took the survey (1=yes, 0=no)

Enroll_Sem: 
	0=includes those who did not receive spots in PIPS or who had not yet enrolled in PIPS
 	1=enrolled in spring 2021
	2= enrolled fall 2021 but had not yet completed PIPS 

firstgen: 1= those who self identify as "first generation college student", 0=otherwise

For the race and ethnicity variables, each is an indicator for whether the respondent self-identified
with the race or ethnicity identified (respondents could choose more than one) The options were:
 
	•	American Indian or Alaska Native
	•	Asian or Asian American
	•	Black or African American
	•	Hispanic, Latino, Latina, LatinX
	•	Middle Eastern or Northern African
	•	Native Hawaiian or Other Pacific Islander
	•	White
	•	Another option (please specify)
	•	Prefer not to say

Dependent Variables:

Phd_interest: 4=very likely, 3=somewhat likely, 2=somewhat unlikely, 1=very unlikely
Prep_app: 4=very prepared, 3=somewhat prepared, 2=not very prepared, 1=not prepared at all
Prep_diversity: 4=very prepared, 3=somewhat prepared, 2=not very prepared, 1=not prepared at all
Prep_research: 4=very prepared, 3=somewhat prepared, 2=not very prepared, 1=not prepared at all
Prep_letters: 4=very prepared, 3=somewhat prepared, 2=not very prepared, 1=not prepared at all

The coding for Phd_interest2, Prep_app2, Prep_diversity2, Prep_research2, Prep_letters2 is based on the previously described measured, but it they are dichotomized. If the earlier measure was a 3 or 4, then the dichotomous measure=1, otherwise it equals 0