He, she, they: Using sex and gender in survey adjustment

Statistical Modeling, Causal Inference, and Social Science 2025-02-05

Summary:

A couple years ago, Lauren Kennedy, Kate Khanna, Dan Simpson, Yajun Jia, Julien Teitler, and I wrote this paper, which begins: Accounting for sex and gender is a challenge in social science research. While other methodology papers consider issues surrounding … Continue reading

Link:

https://statmodeling.stat.columbia.edu/2025/02/05/he-she-they-using-sex-and-gender-in-survey-adjustment/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

political

Authors:

Andrew

Date tagged:

02/05/2025, 17:14

Date published:

02/05/2025, 09:26