Contribution in an anthology

Appeared in: Cross-cultural analysis. Methods and Applications

Editor list: Davidov, E; Schmidt, P; Billiet, J; Meuleman, B

Publication year: 2018

Pages: 363-392

ISBN: 978-1-138-69027-1

eISBN: 978-1-138-67064-8

DOI Link: https://doi.org/10.4324/9781315537078

Edition: Second Edition

Title of series: European Association of Methodology series

Abstract: 

This chapter explains a model that can be used to explain why specific indicators function differently across cultural contexts. It proposes a multilevel confirmatory factor analysis model with random factor loadings to capture cross-group variation in the strength of indicators. The chapter explores the Multilevel confirmatory factor analysis (MLCFA) with random loadings in an analysis of the items measuring ethnic citizenship conceptions included in the 2003 round of the International Social Survey Programme. The MLCFA model conversely conceptualizes cross-group inequivalence as random effects. MLCFA is a more parsimonious model that is especially useful when large numbers of groups are being compared. The chapter utilizes a Bayesian estimation procedure that is better suited to deal with the relatively small sample size at the country level. It presents the results of a Monte Carlo simulation study evaluating the reliability and validity of the procedure.

Harvard Citation style: Meuleman, B. and Schlüter, E. (2018) Explaining Cross-National Measurement Inequivalence. A Bayesian Multilevel CFA With Random Loadings, in Davidov, E., Schmidt, P., Billiet, J. and Meuleman, B. (eds.) Cross-cultural analysis. Methods and Applications. Second Edition. New York: Routledge, pp. 363-392. https://doi.org/10.4324/9781315537078

APA Citation style: Meuleman, B., & Schlüter, E. (2018). Explaining Cross-National Measurement Inequivalence. A Bayesian Multilevel CFA With Random Loadings. In Davidov, E., Schmidt, P., Billiet, J., & Meuleman, B. (Eds.), Cross-cultural analysis. Methods and Applications (Second Edition, pp. 363-392). Routledge. https://doi.org/10.4324/9781315537078