Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The Threshold Effect

Preference Falsification Versus Weak Preferences in Russian War Support

Bibliographic Data

ID24211484
AuthorsIsabelle DeSisto (0000-0002-2575-1957, Princeton University), Grigore Pop-Eleches (0000-0003-3570-6233, Princeton University), Jacob R Tucker (0009-0006-2089-9174, New York University)
Year2026
Volume56
Publication date2026-01-01
Open AccessYes
TypeARTICLE
VenueBritish Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0007-1234 • E-ISSN: 1469-2112
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0007123426101768
OpenAlexW7215089174
LanguageEN
References cited35

How reliable are surveys in autocracies? Using data from wartime Russia, we show why list experiments – commonly used to detect preference falsification – do not always reveal hidden dissent. We identify and test what we call the ‘threshold effect’: respondents may report support for a sensitive item in a direct question but omit it in a list experiment, not because they are lying, but because the list format can create a higher threshold for expressing support. We provide direct evidence of this effect and use two approaches to distinguish preference falsification from weak preferences. Both suggest that outright lying in Russia is limited, but many attitudes are weak and easily shaped by question framing. We conclude that while many Russians genuinely support the war against Ukraine, this support is shallow. Our findings suggest that researchers should take care when designing and interpreting survey questions that measure sensitive attitudes using indirect methods.

list experiment · preference falsification · question framing · Russian invasion of Ukraine · threshold effects · war support · weak preferences · Electoral Systems and Political Participation · Survey Methodology and Nonresponse · Survey Sampling and Estimation Techniques

  • Populist Authoritarianism

    Wenfang Tang•Populist Authoritarianism•2016

  • Multivariate Regression Analysis for the Item Count Technique

    Katsushi Imai, Kosuke Imai•Journal of the American…•2011

  • Social Media and Protest Participation

    Ruben Enikolopov, Рубен Ениколопов et al.•Econometrica•2020

  • Solid support or secret dissent? A list experiment on preference falsification during the Russian war against Ukraine

    Open Access•Philipp Chapkovski, Melissa Schaub•Research & Politics•2022

  • Want to be heard

    Open Access•Marina Vyrskaia, Andrey Tkachenko et al.•Post-Soviet Affairs•2025

  • Now out of Never

    Open Access•Timur Kuran•World Politics•1991

  • Is Putin’s popularity (still) real? A cautionary note on using list experiments to measure popularity in authoritarian regimes

    Timothy Frye, Scott Gehlbach et al.•Post-Soviet Affairs•2023

  • The Popularity of Authoritarian Leaders

    Open Access•Sergei Guriev, Daniel Treisman•World Politics•2020

  • What Can We Learn with Statistical Truth Serum

    Adam N Glynn, Adam Glynn•Public Opinion Quarterly•2013

  • Measuring Political Attitudes with Word Association

    Open Access•Ze Han, Rory Truex et al.•Public Opinion Quarterly•2025

  • (Mis)Measuring Sensitive Attitudes with the List Experiment

    Open Access•Eric Kramon, Keith Weghorst•Public Opinion Quarterly•2019

  • Is Putin’s popularity real

    Timothy Frye, Scott Gehlbach et al.•Post-Soviet Affairs•2017

  • Survey research in Russia

    Bryn Rosenfeld•Post-Soviet Affairs•2023

  • Placebo statements in list experiments

    Open Access•Guillem Riambau, Kai Ostwald•Political Science Research and…•2021

  • Sensitive Questions, Truthful Answers? Modeling the List Experiment with Listit

    Open Access•Daniel Corstange•Political Analysis•2009

  • Statistical Analysis of List Experiments

    Open Access•Graham Blair, Graeme Blair et al.•Political Analysis•2012

  • Dynamic Estimation of Latent Opinion Using a Hierarchical Group-Level IRT Model

    Open Access•Devin Caughey, Carole Warshaw et al.•Political Analysis•2015

  • Voter Intimidation as a Tool of Mobilization or Demobilization? Evidence from West Bengal, India

    Open Access•Ursula Daxecker, Annekatrin Deglow et al.•Journal of Conflict Resolution•2025

  • An Empirical Validation Study of Popular Survey Methodologies for Sensitive Questions

    Open Access•Bryn Rosenfeld, Katsushi Imai et al.•American Journal of Political…•2016

  • The Distortion of Voter Recall

    Blair T Weir•American Journal of Political…•1975

  • Memory for Past Vote

    Open Access•Hilde T Himmelweit, Marianne Jaeger Biberian et al.•British Journal of Political…•1978

  • In Search of Self-Censorship

    Open Access•Xiaoxiao Shen, Rory Truex•British Journal of Political…•2021

  • An inkblot for attitudes

    B Keith Payne, Clara Michelle Cheng et al.•Journal of Personality and Social…•2005

  • Measuring individual differences in implicit cognition

    Anthony G Greenwald, Debbie E Mcghee et al.•Journal of Personality and Social…•1998

  • Sensitive questions in surveys

    Roger Tourangeau, Ting Yan•Psychological Bulletin•2007

  • Making the List

    Open Access•Stephen P Nicholson, Haifeng Huang•American Political Science Review•2023

  • Authoritarian Rallying as Reputational Cascade? Evidence from Putin's Popularity Surge after Crimea

    Open Access•Henry E Hale•American Political Science Review•2022

  • When to Worry about Sensitivity Bias

    Open Access•Graham Blair, Alexander Coppock et al.•American Political Science Review•2020

  • Endogenous Popularity

    Open Access•Noah Buckley, Kyle L Marquardt et al.•American Political Science Review•2024

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