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Process / pipelineIndirect questioning techniques

List Experiment

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.

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Sources

  1. Imai, K. (2011). Multivariate Regression Analysis for the Item Count Technique. Journal of the American Statistical Association, 106(494), 407–416. DOI: 10.1198/jasa.2011.ap10415
  2. Blair, G., & Imai, K. (2012). Statistical Analysis of List Experiments. Political Analysis, 20(1), 47–77. DOI: 10.1093/pan/mpr048
  3. Glynn, A. N. (2013). What Can We Learn with Statistical Truth Serum? Design and Analysis of the List Experiment. Public Opinion Quarterly, 77(S1), 159–172. DOI: 10.1093/poq/nfs070

How to cite this page

ScholarGate. (2026, June 22). List Experiment (Item Count Technique). ScholarGate. https://scholargate.app/en/political-science/list-experiment

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ScholarGateList Experiment (List Experiment (Item Count Technique)). Retrieved 2026-06-24 from https://scholargate.app/en/political-science/list-experiment · Dataset: https://doi.org/10.5281/zenodo.20539026