FIND DATA: By Author | Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | Int'l Relations | Law & Courts
   FIND DATA: By Author | Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts
If this link is broken, please report as broken. You can also submit updates (will be reviewed).
How to Measure Sexism Quickly and Reliably in Political Surveys
Insights from the Field
sexism
hostile sexism
measurement
surveys
validity
Methodology
Pol. An.
1 archives
Dataverse
Optimizing the Measurement of Sexism in Political Surveys was authored by Brian Schaffner. It was published by Cambridge in Pol. An. in 2022.

๐Ÿ”Ž Problem: Varied Sexism Measures Hamper Political Research

Political scientists are increasingly focused on how sexist attitudes shape vote choices and policy opinions. Current research uses a wide variety of items and scales to measure sexism, creating inconsistency and making comparison across studies difficult.

๐Ÿงช How Measures Were Assessed

An approach was developed to evaluate prominent contemporary sexism measures and identify optimal survey items. Items were assessed according to three clear criteria:

  • Convergent validity โ€” agreement with related sexism constructs
  • Predictive validity โ€” ability to predict vote choices and issue opinions
  • Distance from politics โ€” degree to which items are not entangled with partisan or political cues

๐Ÿ“Š Key Findings

  • A subset of items from the hostile sexism scale exhibits the most desirable measurement properties across the three criteria.
  • These items maximize convergent and predictive validity while maintaining greater distance from politics relative to other items.
  • Based on these results, a simple two- to five-item reduced hostile sexism battery is recommended to measure sexism efficiently and consistently.

โš–๏ธ Why It Matters

A short, validated hostile sexism battery reduces respondent burden, improves comparability across studies, and strengthens researchers' ability to use sexism measures as predictors of political behavior and opinions. This recommendation offers a practical tool for scholars seeking efficient, valid, and consistent measurement of sexist attitudes in surveys.

data
Find on Google Scholar
Find on JSTOR
Find on CUP
Political Analysis
Podcast host Ryan