student: Student-level demographic data
In MIDFIELDR/midfielddata: MIDFIELD Data Sample

student

R Documentation

Student-level demographic data

Description

Student-level demographic information for approximately 98,000 degree-seeking undergraduate students, keyed by student ID. Data at the "student-level" refers to information collected by undergraduate institutions about individual students, for example, age, sex, and race/ethnicity at matriculation.

Usage

data(student)

Format

A data.frame and data.table with 13 variables and 97,555 observations of unique students occupying 18 MB of memory:

mcid: Character, anonymized student identifier, e.g., MCID3111142225.
institution: Character, de-identified institution name, e.g., Institution A, Institution B, etc.
transfer: Character, transfer status, possible values are ⁠First-Time in College⁠, ⁠First-Time Transfer⁠.
hours_transfer: Numeric, number of credit hours transferred (or NA).
race: Character, race/ethnicity as self-reported by the student, e.g., Asian, Black, Hispanic, etc.
sex: Character, sex as self-reported by the student, possible values are Female, Male, and Unknown.
age_desc: Character, age group, possible values are ⁠25 and Older⁠, ⁠Under 25⁠.
us_citizen: Character, US citizenship, possible values are No, Yes.
home_zip: Character, home ZIP code (or NA), e.g., 02056, 20170, 51301, 80129, etc.
high_school: Character, code for the last high school attended before admission (or NA), e.g., 060075, 210512, 431800, 502195, etc.
sat_math: Numeric, SAT mathematics test score (or NA).
sat_verbal: Numeric, SAT reading test score (or NA).
act_comp: Numeric, ACT composite test score (or NA).

Details

Student data are structured in row-record form, that is, information associated with a particular ID occupies a single row—one record per student.

The data in midfielddata are a proportionate stratified sample of the MIDFIELD database, but are not suitable for drawing inferences about program attributes or student experiences—midfielddata provides practice data, not research data.

Source

2022 MIDFIELD database

Examples

## Not run: 

# Load data
data(student)

# Select specific rows and columns
rows_we_want <- student$mcid == MCID3112192438
cols_we_want <- c(mcid, institution, transfer, race, sex, age_desc)

# View observations for this ID 
student[rows_we_want, cols_we_want]


## End(Not run)

MIDFIELDR/midfielddata documentation built on Dec. 1, 2024, 9:11 a.m.