Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups

Implements methods for calculating disproportionate impact: the percentage point gap, proportionality index, and the 80% index. California Community Colleges Chancellor's Office (2017). Percentage Point Gap Method. < https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Research/Files/PercentagePointGapMethod2017.ashx>. California Community Colleges Chancellor's Office (2014). Guidelines for Measuring Disproportionate Impact in Equity Plans. < https://www.cccco.edu/-/media/CCCCO-Website/Files/DII/guidelines-for-measuring-disproportionate-impact-in-equity-plans-tfa-ada.pdf>.

README

The DisImpact R package contains functions that help in determining Disproportionate Impact (DI) based on the following methodologies:

1. Percentage Point Gap (PPG) method,
2. Proportionality Index method (method #1 in reference), and
3. 80% Index (method #2 in reference).

Install Package

# From CRAN
install.packages('DisImpact')

# From github (Development)
devtools::install_github('vinhdizzo/DisImpact')

Vignettes and Tutorials

The DisImpact package offers several vignettes/tutorials to get the user familiar with the package and methods provided:

1. Package tutorial.
2. Scaling DI calculations across a variety of scenarios.
3. Multi-Ethnicity Categorization and how to analyze such data with DisImpact.
4. Intersectionality and how to perform such analysis with DisImpact.
5. DI Calculations on long, summarized data sets using the di_iterate_on_long function.