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How few countries will do? : comparative survey analysis from a Bayesian perspective

Wie wenige Länder werden es machen? : eine vergleichende Studie
[journal article]

Hox, Joop J.C.M.; Schoot, Rens van de; Matthijsse, Suzette

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Please use the following Persistent Identifier (PID) to cite this document:http://dx.doi.org/10.18148/srm/2012.v6i2.5033

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Abstract "Meuleman and Billiet (2009) have carried out a simulation study aimed at the question how many countries are needed for accurate multilevel SEM estimation in comparative studies. The authors concluded that a sample of 50 to 100 countries is needed for accurate estimation. Recently, Bayesian estimation methods have been introduced in structural equation modeling which should work well with much lower sample sizes. The current study reanalyzes the simulation of Meuleman and Billiet using Bayesian estimation to find the lowest number of countries needed when conducting multilevel SEM. The main result of our simulations is that a sample of about 20 countries is sufficient for accurate Bayesian estimation, which makes multilevel SEM practicable for the number of countries commonly available in large scale comparative surveys." (author's abstract)
Keywords comparative research; method; estimation; data collection method; data; data documentation; data organization
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language English
Publication Year 2012
Page/Pages p. 87-93
Journal Survey Research Methods, 6 (2012) 2
Issue topic Theory of human values
ISSN 1864-3361
Status Published Version; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications