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Beyond innumeracy

Measuring Public Misperceptions About Immigration

Bibliographic Data

ID6341685
AuthorsPhilipp Lutz (0000-0003-2373-0180, University of Geneva, corresponding author), Marco Bitschnau (0000-0002-2700-7259, University of Konstanz)
Year2025
Pages1-18
Publication date2025-11-17
Open AccessYes
TypeARTICLE
VenuePolitical Science Research and Methods (JOURNAL)
Journal identifiersISSN: 2049-8470 • E-ISSN: 2049-8489
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/psrm.2025.10055
OpenAlexW4416300672
LanguageEN
References cited55

Public perceptions of immigration are often inaccurate, yet research lacks conceptual clarity and valid measurement of these misperceptions. Prior work focuses mainly on population innumeracy (misestimating immigrant shares) and cannot distinguish genuine misperceptions from mere guessing. We introduce a survey module that captures multiple dimensions of immigration-related perceptions alongside respondents’ confidence in their estimates. Using population survey data from Switzerland, we develop confidence-weighted indicators that separate misperception from guessing. Although inaccurate perceptions are widespread across several immigration domains, they are less prevalent than often assumed; guessing accounts for a substantial share of observed inaccuracy. This measurement strategy enables more precise empirical tests of theories linking perceptions to political attitudes and behavior

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