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Replication file for: Beyond innumeracy: Measuring public misperceptions about immigration

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October 30, 2025

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Lutz, Philipp

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Published

Zusammenfassung

copy directly from abstract in PSRM publication

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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Fachgebiet (DDC)
300 Sozialwissenschaften, Soziologie

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Social Sciences

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Publikation
Zeitschriftenartikel
Beyond innumeracy : measuring public misperceptions about immigration
(2025) Lutz, Philipp; Bitschnau, Marco
Erschienen in: Political Science Research and Methods. Cambridge University Press (CUP). ISSN 2049-8470. eISSN 2049-8489. Verfügbar unter: doi: 10.1017/psrm.2025.10055
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ISO 690LUTZ, Philipp, Marco BITSCHNAU, 2025. Replication file for: Beyond innumeracy: Measuring public misperceptions about immigration
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    <dcterms:abstract>copy directly from abstract in PSRM publication

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.</dcterms:abstract>
    <dc:creator>Bitschnau, Marco</dc:creator>
    <dcterms:title>Replication file for: Beyond innumeracy: Measuring public misperceptions about immigration</dcterms:title>
    <dc:contributor>Bitschnau, Marco</dc:contributor>
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