study_results

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.

datasets

Provides tools and demonstrates methods for working with individual
undergraduate student-level records (registrar's data) in 'R'. Tools include
filters for program codes, data sufficiency, and timely completion. Methods
include gathering blocs of records, computing quantitative metrics such as
graduation rate, and creating charts to visualize comparisons. 'midfieldr'
interacts with practice data provided in 'midfielddata', a data package with
an installed size of about 24 Mb available via a 'drat' repository.
Instructions at <https://midfieldr.github.io/midfielddata/>. This work is
supported by the US National Science Foundation through grant numbers 1545667
and 2142087.

Richard Layton

midfieldr

Tools and Methods for Working with MIDFIELD Data in 'R'

Russell Long

Matthew Ohland

Marisa Orr

Susan Lord

study_results function

<code>data.table</code> with 50 rows and 6 columns.
<dl><dt><code>program</code></dt>
<dd>Character, academic program label.</dd>
<dt><code>race</code></dt>
<dd>Character, self-reported race/ethnicity.</dd>
<dt><code>sex</code></dt>
<dd>Character, self-reported sex.</dd>
<dt><code>ever_enrolled</code></dt>
<dd>Numerical, number of students ever enrolled in a
program.</dd>
<dt><code>graduates</code></dt>
<dd>Numerical, number of students completing a program.</dd>
<dt><code>stickiness</code></dt>
<dd>Numerical, program stickiness, the ratio <code>graduates</code> to
<code>ever_enrolled</code>, in percent.</dd></dl>

Format

Case-study results — study_results

<code>data.table</code> with 50 rows and 6 columns.
<dl>

<dt><code>program</code></dt>
<dd>Character, academic program label.</dd>


<dt><code>race</code></dt>
<dd>Character, self-reported race/ethnicity.</dd>


<dt><code>sex</code></dt>
<dd>Character, self-reported sex.</dd>


<dt><code>ever_enrolled</code></dt>
<dd>Numerical, number of students ever enrolled in a
program.</dd>


<dt><code>graduates</code></dt>
<dd>Numerical, number of students completing a program.</dd>


<dt><code>stickiness</code></dt>
<dd>Numerical, program stickiness, the ratio <code>graduates</code> to
<code>ever_enrolled</code>, in percent.</dd>



</dl>

study_results: Case-study results

Description

Usage

Arguments

Format

Details

See Also