ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

Audit Experiment×List Experiment×
分野Political SciencePolitical Science
系統Process / pipelineProcess / pipeline
提唱年20112011
提唱者Butler & Broockman (political responsiveness audits); Bertrand & Mullainathan (correspondence-audit lineage)Survey methodology; modern estimators by Kosuke Imai, Graeme Blair, Adam Glynn
種類Randomized field experiment using matched fictitious requestsSensitive-question survey experiment
原典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 ↗Imai, K. (2011). Multivariate Regression Analysis for the Item Count Technique. Journal of the American Statistical Association, 106(494), 407–416. DOI ↗
別名Correspondence study, Field audit study, Discrimination audit, Responsiveness auditItem count technique, Unmatched count technique, Item count method, List randomization
関連43
概要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.The list experiment, also called the item count technique, is a survey design that measures the prevalence of a sensitive attitude or behavior without ever requiring any respondent to directly disclose it. Respondents are randomly split into two groups: a control group sees a list of innocuous items and reports only how many apply to them, while a treatment group sees the same list plus one sensitive item. Because respondents report only a count, no individual answer reveals their stance on the sensitive item, and the difference in average counts between the groups estimates the proportion holding the sensitive trait.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 3 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Audit Experiment · List Experiment. 2026-06-24に以下より取得 https://scholargate.app/ja/compare