In:
Journal of Cross-Cultural Psychology, SAGE Publications, Vol. 43, No. 4 ( 2012-05), p. 558-575
Abstract:
Testing for invariance of measurements across groups (such as countries or time points) is essential before meaningful comparisons may be conducted. However, when tested, invariance is often absent. As a result, comparisons across groups are potentially problematic and may be biased. In the current study, we propose utilizing a multilevel structural equation modeling (SEM) approach to provide a framework to explain item bias. We show how variation in a contextual variable may explain noninvariance. For the illustration of the method, we use data from the second round of the European Social Survey (ESS).
Type of Medium:
Online Resource
ISSN:
0022-0221
,
1552-5422
DOI:
10.1177/0022022112438397
Language:
English
Publisher:
SAGE Publications
Publication Date:
2012
detail.hit.zdb_id:
2021892-8
SSG:
0
SSG:
5,2