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dc.contributor.authorLundmark, Sebastian
dc.contributor.authorKokkonen, Andrej
dc.date.accessioned2017-12-11T15:51:11Z
dc.date.available2017-12-11T15:51:11Z
dc.date.issued2017
dc.identifier.issn2296-4754
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/55019
dc.description.abstractInnumeracy among survey respondents in estimating a country’s immigrant population is a well-known problem for the social sciences. In general, individuals have been found to overestimate the immigrant population at the country level. Furthermore, individuals were found to be especially prone towards overestimating the number if they already were prejudiced against immigrants. If these findings generalize to lower levels of inquiry such as neighborhoods, then research using subjective assessments of immigrant populations in these contexts might be biased as well. By distributing a questionnaire among 142 small and mid-sized companies in the city Gothenburg, Sweden, respondent’s subjective assessments of the immigrant population in their neighborhoods was compared to register data of those neighborhoods. Hence, although the sample was only representative of the working population in small and middle-sized companies in a metropolitan area thus excluding unemployed, retirees, nonworking students, and the rural population of Sweden, the results demonstrated that subjective assessments could correlate well with objective assessments. Overall, the results indicated that the disparity between subjective and objective assessments was lower than what could be expected from previous research findings at the country-level.en
dc.languageen
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otheroverestimation; population estimates; Subjective assessment
dc.titleMeasuring Immigrant Populations: Subjective versus Objective Assessments
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSurvey Methods: Insights from the Field
dc.publisher.countryDEU
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozZuwanderungde
dc.subject.thesozimmigrationen
dc.subject.thesozSchätzungde
dc.subject.thesozestimationen
dc.subject.thesozBevölkerungsgruppede
dc.subject.thesozpopulation groupen
dc.subject.thesozSchwedende
dc.subject.thesozSwedenen
dc.subject.thesozErwerbsbevölkerungde
dc.subject.thesozlabor forceen
dc.subject.thesozSubjektivitätde
dc.subject.thesozsubjectivityen
dc.subject.thesozVorurteilde
dc.subject.thesozprejudiceen
dc.subject.thesozMessungde
dc.subject.thesozmeasurementen
dc.subject.thesozObjektivitätde
dc.subject.thesozobjectivityen
dc.subject.thesozAusländerde
dc.subject.thesozalienen
dc.subject.thesozsoziale Wirklichkeitde
dc.subject.thesozsocial realityen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESIS
internal.statusnoch nicht fertig erschlossen
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dc.type.stockarticle
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo7
internal.identifier.classoz10105
internal.identifier.journal472
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.13094/SMIF-2017-00004
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
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internal.pdf.version1.4
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internal.pdf.wellformedtrue
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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