Student-level degree data

Student-level degree information for approximately 50,000 undergraduates earning degrees, keyed by student ID. Data at the "student-level" refers to information collected by undergraduate institutions about individual students, for example, institution, program, term, and baccalaureate degree.

Usage

data(degree)

Format

A data.frame and data.table with 5 variables and 49,543 observations of unique students occupying 6 MB of memory:

mcid

Character, anonymized student identifier, e.g., MCID3111142225.

institution

Character, de-identified institution name, e.g., Institution A, Institution B, etc.

term_degree

Character, academic year and term, format YYYYT, in which a student completes their program.

cip6

Character, 6-digit CIP code of program in which a student earns a degree, e.g., 090101, 141201, 260901, 420101, etc.

degree

Character, type of degree awarded, e.g., Bachelor of Arts in Geography, Bachelor of Science in Finance, etc.

Source

2022 MIDFIELD database

Details

Degree data are structured in block-record form, that is, records associated with a particular ID can span multiple rows—one record per student per degree. Multiple degrees can occur in the same term or in different terms.

Terms are encoded YYYYT, where YYYY is the year at the start of the academic year and T encodes the semester or quarter within an academic year as Fall (1), Winter (2), Spring (3), and Summer (4, 5, and 6). For example, for academic year 1995–96, Fall 95–96 is encoded 19951, Spring 95–96 is encoded 19953, and the first Summer 95-96 term is encoded 19954. The source database includes special month-long sessions encoded with letters A, B, C, etc., though none are included in this sample.

For program codes, midfielddata uses the 2010 version of the Classification of Instructional Programs (CIP). If the midfieldr package is installed and loaded, type ?cip for details.

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.

See also

Package midfieldr for tools and methods for working with MIDFIELD data in R.

Other datasets: course, student, term

Examples

if (FALSE) { # \dontrun{

# Load data
data(degree)

# Select specific rows and columns
rows_we_want <- degree$mcid == MCID3112192438
cols_we_want <- c(mcid, term_degree, cip6, degree)

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

} # }