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| Audit Experiment× | Experiment in terénu× | |
|---|---|---|
| Obor≠ | Political Science | Plánování experimentů |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2011 | 1920s–1930s (agriculture); 1990s–2000s (social sciences) |
| Tvůrce≠ | Butler & Broockman (political responsiveness audits); Bertrand & Mullainathan (correspondence-audit lineage) | Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004) |
| Typ≠ | Randomized field experiment using matched fictitious requests | Experimental design |
| Původní zdroj≠ | Butler, D. M., & Broockman, D. E. (2011). Do Politicians Racially Discriminate Against Constituents? A Field Experiment on State Legislators. American Journal of Political Science, 55(3), 463–477. DOI ↗ | Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. DOI ↗ |
| Další názvy | Correspondence study, Field audit study, Discrimination audit, Responsiveness audit | field trial, natural field experiment, randomized field experiment, field RCT |
| Příbuzné≠ | 4 | 5 |
| Shrnutí≠ | An audit experiment, also called a correspondence or field audit study, sends matched but fictitious requests to real-world targets — such as legislators, landlords, or employers — while randomizing a single treatment cue, then compares the rate and quality of responses. In political science the canonical design follows Butler and Broockman's 2011 study of U.S. state legislators, which varied the putative race signaled by a constituent's name to measure discrimination in responsiveness. | A field experiment applies the logic of a randomized controlled trial in a naturally occurring, real-world environment rather than an artificial laboratory. Participants are randomly assigned to treatment and control conditions while going about everyday activities, allowing researchers to estimate causal effects with high internal validity while preserving a level of ecological realism that laboratory settings cannot offer. The design is especially prominent in economics, public health, political science, and development research. |
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