Description
Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups.
Description
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.md
README
The DisImpact R package contains functions that help in determining Disproportionate Impact (DI) based on the following methodologies:
- Percentage Point Gap (PPG) method,
- Proportionality Index method (method #1 in reference), and
- 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:
- Package tutorial.
- Scaling DI calculations across a variety of scenarios.
- Multi-Ethnicity Categorization and how to analyze such data with
DisImpact. - Intersectionality and how to perform such analysis with
DisImpact. - DI Calculations on long, summarized data sets using the
di_iterate_on_longfunction.