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Multilevel Modelling of Country Effects: A Cautionary Tale
[Zeitschriftenartikel]
Abstract Country 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 d... mehr
Country 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.... weniger
Thesaurusschlagwörter
Mehrebenenanalyse; Simulation; Analyse; Analyseverfahren; statistische Analyse; Modell; Methodenforschung; Methode; Schätzung; Eurobarometer; European Social Survey; EVS; ISSP
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
Eurobarometer; 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)
Sprache Dokument
Deutsch
Publikationsjahr
2016
Seitenangabe
S. 3-22
Zeitschriftentitel
European Sociological Review, 32 (2016) 1
DOI
https://doi.org/10.1093/esr/jcv059
ISSN
1468-2672
Status
Veröffentlichungsversion; begutachtet (peer reviewed)