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Multilevel Modelling of Country Effects: A Cautionary Tale
[journal article]
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... view more
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.... view less
Keywords
multi-level analysis; simulation; analysis; analysis procedure; statistical analysis; model; methodological research; method; estimation; Eurobarometer; European Social Survey; EVS; ISSP
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
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)
Document language
German
Publication Year
2016
Page/Pages
p. 3-22
Journal
European Sociological Review, 32 (2016) 1
DOI
https://doi.org/10.1093/esr/jcv059
ISSN
1468-2672
Status
Published Version; peer reviewed