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[journal article]

dc.contributor.authorBryan, Mark L.de
dc.contributor.authorJenkins, Stephen P.de
dc.date.accessioned2022-02-02T12:28:57Z
dc.date.available2022-02-02T12:28:57Z
dc.date.issued2016de
dc.identifier.issn1468-2672de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/77112
dc.description.abstractCountry effects on outcomes for individuals are often analysed using multilevel (hierarchical) models applied to harmonized multi-country data sets such as ESS, EU-SILC, EVS, ISSP, and SHARE. We point out problems with the assessment of country effects that appear not to be widely appreciated, and develop our arguments using Monte Carlo simulation analysis of multilevel linear and logit models. With large sample sizes of individuals within each country but only a small number of countries, analysts can reliably estimate individual-level effects but estimates of parameters summarizing country effects are likely to be unreliable. Multilevel modelling methods are no panacea.de
dc.languagedede
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherEurobarometer; European Community Household Panel (ECHP); European Quality of Life Survey (EQLS); European Social Survey (ESS); European Union Statistics on Income and Living Conditions (EU-SILC); European Values Study (EVS); International Social Survey Program (ISSP); Luxembourg Income Study (LIS); Survey of Health, Ageing and Retirement in Europe (SHARE)de
dc.titleMultilevel Modelling of Country Effects: A Cautionary Talede
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalEuropean Sociological Review
dc.source.volume32de
dc.publisher.countryDEUde
dc.source.issue1de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozMehrebenenanalysede
dc.subject.thesozmulti-level analysisen
dc.subject.thesozSimulationde
dc.subject.thesozsimulationen
dc.subject.thesozAnalysede
dc.subject.thesozanalysisen
dc.subject.thesozAnalyseverfahrende
dc.subject.thesozanalysis procedureen
dc.subject.thesozstatistische Analysede
dc.subject.thesozstatistical analysisen
dc.subject.thesozModellde
dc.subject.thesozmodelen
dc.subject.thesozMethodenforschungde
dc.subject.thesozmethodological researchen
dc.subject.thesozMethodede
dc.subject.thesozmethoden
dc.subject.thesozSchätzungde
dc.subject.thesozestimationen
dc.subject.thesozEurobarometerde
dc.subject.thesozEurobarometeren
dc.subject.thesozEuropean Social Surveyde
dc.subject.thesozEuropean Social Surveyen
dc.subject.thesozEVSde
dc.subject.thesozEVSen
dc.subject.thesozISSPde
dc.subject.thesozISSPen
dc.identifier.urnurn:nbn:de:0168-ssoar-77112-2
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo3-22de
internal.identifier.classoz10105
internal.identifier.journal125
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1093/esr/jcv059de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
dc.subject.classhort10100de
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