Replication Data for: Differentially Private Survey Researchhttps://doi.org/10.7910/DVN/X4Y2FLEvans, GeorginaKing, GarySmith, AdamThakurta, AbhradeepHarvard Dataverse2023-12-192023-12-19T17:58:16ZSurvey researchers have long protected the privacy of respondents via de-identification (removing names and other directly identifying information) before sharing data. Although these procedures help, recent research demonstrates that they fail to protect respondents from intentional re-identification attacks, a problem that threatens to undermine vast survey enterprises in academia, government, and industry. This is especially a problem in political science because political beliefs are not merely the subject of our scholarship; they represent some of the most important information respondents want to keep private. We confirm the problem in practice by re-identifying individuals from a survey about a controversial referendum declaring life beginning at conception. We build on the concept of “differential privacy” to offer new data sharing procedures with mathematical guarantees for protecting respondent privacy and statistical validity guarantees for social scientists analyzing differentially private data. The cost of these new procedures is larger standard errors, which can be overcome with somewhat larger sample sizes.Social SciencesPrivacyStatisticsInferenceEvans, Georgina, Gary King, Adam D. Smith, and Abhradeep Thakurta. [date]. "Differentially Private Survey Research." <i>American Journal of Political Science</i> Forthcoming. <a href="http://ajps.org/" target="_blank">http://ajps.org/</a>2023-12-19Evans, Georgina2022-08-29Rosenfeld, Bryn; Imai, Kosuke; Shapiro, Jacob, 2015, "Replication Data for: An Empirical Validation Study of Popular Survey Methodologies for Sensitive Questions", https://doi.org/10.7910/DVN/29911, Harvard Dataverse, V3, UNF:5:wfSfR7xnbL9XigVosud4zA== [fileUNF]This dataset is made available with limited information on how it can be used. You may wish to communicate with the Contact(s) specified before use.