SOCIAL JUSTICE AND QUANTITATIVE METHODS
While there are many great quantitative methods resources, there is a lack of ones that focus specifically on issues of equity. The following resources promote the use of quantitative methods that are better suited for engaging in anti-racist and anti-sexist research than traditional quantitative methods.
StemEquity discusses and investigates the impacts of using particular quantitative methods in social justice research. Below we include topics that we have considered. As we create write ups about each, they will become links that include our rational for recommending a particular set of best practices.
OVERVIEW OF QUANTCRIT
DATA COLLECTION AND PREPARATION
- Power analysis
- Data cleaning
- Missing data
- Aggregation of data
- Making data available
- Validity arguments of instruments
- Descriptive statistics
- Moving beyond p-values
- Making code available
- Model specification
- Large scale datasets and nested data
- Positionality statements
- Land acknowledgements
SUPPORT STEM EQUITY
STEM Equity is continuously adding to our personal and professional resources and partners in the mission of equitable STEM education.
If you know of an organization we should know about or partner with, or would like to support STEM Equity’s mission, please contact us.