পদ্ধতির তুলনা করুন

	Endorsement Experiment	Audit Experiment
ক্ষেত্র	Political Science	Political Science
পরিবার	Process / pipeline	Process / pipeline
উদ্ভবের বছর	2011	2011
প্রবর্তক	Bullock, Imai & Shapiro (statistical framework)	Butler & Broockman (political responsiveness audits); Bertrand & Mullainathan (correspondence-audit lineage)
ধরন	Indirect survey experiment for sensitive latent support	Randomized field experiment using matched fictitious requests
মৌলিক উৎস	Bullock, W., Imai, K., & Shapiro, J. N. (2011). Statistical Analysis of Endorsement Experiments: Measuring Support for Militant Groups in Pakistan. Political Analysis, 19(4), 363–384.	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.
অপর নাম	Endorsement question design, Endorsement experiment design, Indirect support measurement, Group-endorsement experiment	Correspondence study, Field audit study, Discrimination audit, Responsiveness audit
সম্পর্কিত	4	4
সারসংক্ষেপ	An endorsement experiment indirectly measures latent support for a sensitive or stigmatized actor by randomizing whether a policy is attributed to that actor and comparing how respondents' support for the policy shifts. Formalized statistically by Bullock, Imai, and Shapiro in 2011 to measure support for militant groups in Pakistan, the design infers favorability toward an actor that respondents would not safely disclose directly from the change in policy support it induces, typically estimated with hierarchical item-response models.	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.