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).
Survey Experiments Resistant to Demand Effects: A Counterintuitive Look
Insights from the Field
Demand Effects
Survey Experiments
Online Political Science Research
Methodology
APSR
4 R files
8 datasets
Dataverse
Demand Effects in Survey Experiments: An Empirical Assessment was authored by Erik Peterson and Jonathan Mummolo. It was published by Cambridge in APSR in 2019.

This paper argues that online survey experiments are robust against demand effects (EDEs), a type of bias where participants respond strategically based on perceived study intent. To test this claim, the authors analyze over 12,000 responses across five political science studies, replicating findings in diverse subfields like public opinion and voting behavior.

Participants were randomly shown information about researcher expectations to see if they could adjust their answers accordingly. However, even when informed or incentivized financially, response patterns did not significantly change.

This limited ability for participants to detect demand effects has crucial implications: it suggests that survey experiment findings may be more reliable than previously thought.

data
Find on Google Scholar
Find on JSTOR
Find on CUP
American Political Science Review
Podcast host Ryan