Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Eliciting Beliefs as Distributions in Online Surveys

Bibliographic Data

ID6332192
AuthorsLucas Leemann (0000-0001-5201-869X, University of Zurich, corresponding author), Lukas F Stoetzer (0000-0003-2486-7496, Humboldt-Universität zu Berlin), Richard Traunmüller (0000-0001-9487-091X, University of Mannheim)
Year2021
Volume29
Issue4
Pages541-553
Publication date2021-10-01
Open AccessYes
TypeARTICLE
VenuePolitical Analysis (JOURNAL)
Journal identifiersISSN: 1047-1987 • E-ISSN: 1476-4989
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/pan.2020.42
OpenAlexW3128706740
LanguageEN
Citations received6
References cited37

Citizens’ beliefs about uncertain events are fundamental variables in many areas of political science. While beliefs are often conceptualized in the form of distributions, obtaining reliable measures in terms of full probability densities is a difficult task. In this letter, we ask if there is an effective way of eliciting beliefs as distributions in the context of online surveys. Relying on experimental evidence, we evaluate the performance of five different elicitation methods designed to capture citizens’ uncertain expectations. Our results suggest that an elicitation method originally proposed by Manski (2009) performs well. It measures average citizens’ subjective belief distributions reliably and is easily implemented in the context of regular (online) surveys. We expect that a wider use of this method will lead to considerable improvements in the study of citizens’ expectations and beliefs

Ask price · Context (archaeology · Data science · Task (project management · Computer Science · Electoral Systems and Political Participation · Psychology · Social and Intergroup Psychology · Social Psychology · Survey Methodology and Nonresponse

  • Power Unleashed

    Open Access•Oliver Meza, Elizabeth Pérez‐chiqué et al.•Regulation & Governance•2025

  • Эмпирические вызовы и методологические подходы в сравнительной политологии (сквозь призму “Политического атласа современного мира 2.0”)

    Andrei Melville, Андрей Мельвиль et al.•Полис Политические исследования•2023

  • Measuring Misperceptions

    Open Access•Lilla V Orr, Gregory A Huber•Public Opinion Quarterly•2022

  • The Effects of Forecasts on the Accuracy and Precision of Expectations

    Open Access•Matthew Barnfield, Joseph Phillips et al.•Public Opinion Quarterly•2025

  • The Most Important Election of Our Lifetime

    Open Access•Curtis Bram•Political Psychology•2023

  • Learning from Polls During Electoral Campaigns

    Open Access•Lukas F Stoetzer, Lucas Leemann et al.•Political Behavior•2024

  • Uncertain Judgements

    Open Access•Andrew O’hagan, Anthony O'Hagan et al.•Uncertain judgements•2006

  • Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty

    Open Access•Leda Cosmides•Cognition•1996

  • Validity and Mechanical Turk

    Open Access•Kyle A Thomas, Clifford et al.•Computers in Human Behavior•2017

  • Elicitation of Personal Probabilities and Expectations

    Leonard J Savage•Journal of the American…•1971

  • Judgment under Uncertainty

    Amos Tversky, Daniel Kahneman•Utility, Probability, and Human…•1975

  • The Generalizability of Survey Experiments

    Open Access•Kevin J Mullinix, Thomas J Leeper et al.•Journal of Experimental Political…•2015

  • Dynamic elicited priors for updating covert networks

    Open Access•Jeff Gill, John R Freeman•Network Science•2013

  • A Simple Theory of the Survey Response

    John Zaller, Stanley Feldman•American Journal of Political…•1992

  • Generalizing from Survey Experiments Conducted on Mechanical Turk

    Open Access•Alexander Coppock•Political Science Research and…•2018

  • Partisan Bias and the Bayesian Ideal in the Study of Public Opinion

    John G Bullock•The Journal of Politics•2009

  • Elicited Priors for Bayesian Model Specifications in Political Science Research

    Jeff Gill, Lee Demetrius Walker•The Journal of Politics•2005

  • Motivated Reasoning in the Perceived Credibility of Public Opinion Polls

    Ozan Kuru, Josh Pasek et al.•Public Opinion Quarterly•2017

  • Eliciting Subjective Probabilities in Internet Surveys

    Adeline Delavande, Rohwedder et al.•Public Opinion Quarterly•2008

  • Campaign Cost and Electoral Accountability

    Open Access•Carlo Prato, Stephane Wolton•Political Science Research and…•2019

  • The Aggregated Consequences of Motivated Reasoning and the Dynamics of Partisan Presidential Approval

    Open Access•Matthew J Lebo, Daniel Cassino•Political Psychology•2007

  • All the Best Polls Agree with Me

    Open Access•Gabriel Madson, D Sunshine Hillygus•Political Behavior•2020

  • Beyond the Running Tally

    Open Access•Larry M Bartels•Political Behavior•2002

  • Evaluating Online Labor Markets for Experimental Research

    Open Access•Adam J Berinsky, Gregory A Huber et al.•Political Analysis•2012

  • Misperceptions About Perceptual Bias

    Alan S Gerber, Alan Gerber et al.•Annual Review of Political Science•1999

  • Are Americans Ambivalent Towards Racial Policies

    R Michael Alvarez, John Brehm•American Journal of Political…•1997

  • Separating the Shirkers from the Workers? Making Sure Respondents Pay Attention on Self‐Administered Surveys

    Open Access•Adam J Berinsky, Michele F Margolis et al.•American Journal of Political…•2014

  • Rumors and Health Care Reform

    Open Access•Adam J Berinsky•British Journal of Political…•2017

  • Availability

    Open Access•Amos Tversky, Daniel Kahneman•Cognitive Psychology•1973

  • Belief in the law of small numbers

    Amos Tversky, Daniel Kahneman•Psychological Bulletin•1971

  • "Wisdom of crowds"? A decentralised election forecasting model that uses citizens' local expectations

    Open Access•Andreas Erwin Murr•Electoral Studies•2011

Citations per year1.5
Citation span2022 - 2025 (4)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae