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

Survey Research Methods

Volumn 6, Issue 2, 2012, Pages 87-93

  Hox, Joop ^a   van de Schoot, Rens ^a   Matthijsse, Suzette ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

Author keywords

Bayesian estimation; Cross national research; Multilevel SEM; Sample size

Indexed keywords

EID: 84883641307     PISSN: None     EISSN: 18643361     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Asparouhov, T., & Muthén, B. (2010). Bayesian analysis of latent variable models using Mplus. Version 4. Unpublished manuscript, accessed October 13, 2011 on http://www.statmodel.com/download/BayesAdvantages18.pdf.
2. Barnett, V. (2008). Comparative statistical inference. Chicester, UK: Wiley.
3. Boomsma, A., & Hoogland, J. J. (2001). The robustness of LISREL modeling revisited. In R. Cudeck, S. du Toit, & D. Sörbom (Eds.), Structural equation modeling: Present and future. A Festschrift in honor of Karl Jöreskog (p. 139-168). Chicago: Scientific Software International.
4. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
5. Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2004). Bayesian data analysis (2nd ed.). Boca Raton, FL: Chapman & Hall/CRC.
6. Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statistical Science, 7, 457-511.
7. Goldstein, H. (2011). Multilevel statistical models. Chicester, UK: Wiley.
8. Groves, R. M. (1989). Survey errors and survey costs. New York: Wiley.
9. Harkness, J. A., Braun, M., Edwards, B., Johnson, T. P., Lyberg, L. E., Mohler, P. P., et al. (2010). Survey methods in multinational, multiregional, and multicultural contexts. Chicester, UK: Wiley.
10. Hox, J. J. (2010). Multilevel analysis. Techniques and applications. NY: Routledge.
11. Jöreskog, K. G. (1971). Simultaneous factor analysis in several populations. Psychometrika, 36, 409-426.
12. Kaplan, D. (2009). Structural equation modeling (2nd ed.). Thousand Oaks, CA: Sage.
13. Lee, S. (2007). Structural equation modeling: a Bayesian approach. Chicester, UK: Wiley.
14. Lynch, S. M. (2007). Introduction to applied Bayesian statistics and estimation for social scientists. Berlin: Springer.
15. Maas, C. J. M., & Hox, J. J. (2005). Sufficient sample sizes for multilevel modeling. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 1, 85-91.
16. Mehta, P. D., & Neale, M. C. (2005). People are variables too: multilevel structural equations modeling. Psychological Methods, 10, 259-284.
17. Meuleman, B., & Billiet, J. (2009). A Monte Carlo sample size study: How many countries are needed for accurate multilevel SEM? Survey Research Methods, 3, 45-58.
18. Muthén, B. (1989). Latent variable modeling in heterogeneous populations. Psychometrika, 54, 557-585.
19. Muthén, L. K., & Muthén, B. O. (1998-2010). Mplus user's guide (6th ed.). Los Angeles, CA: Muthén & Muthén.
20. Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models (2nd ed.). Thousand Oaks, CA: Sage.
21. Van de Vijver, F. R., van Hemert, D. A., & Poortinga, Y. H. (Eds.). (2008). Multilevel analysis of individuals and cultures. NY: Taylor & Francis.