EconPapers    
Economics at your fingertips  
 

Score-Based Tests of Measurement Invariance: Use in Practice

Ting Wang (), Edgar C. Merkle () and Achim Zeileis ()

Working Papers from Faculty of Economics and Statistics, University of Innsbruck

Abstract: In this paper, we consider a family of recently-proposed measurement invariance tests that are based on the scores of a fitted model. This family can be used to test for measurement invariance w.r.t. a continuous auxiliary variable, without pre-specification of subgroups. Moreover, the family can be used when one wishes to test for measurement invariance w.r.t. an ordinal auxiliary variable, yielding test statistics that are sensitive to violations that are monotonically related to the ordinal variable (and less sensitive to non-monotonic violations). The paper is specifically aimed at potential users of the tests who may wish to know (i) how the tests can be employed for their data, and (ii) whether the tests can accurately identify specific models parameters that violate measurement invariance (possibly in the presence of model misspecification). After providing an overview of the tests, we illustrate their general use via the R packages lavaan and strucchange. We then describe two novel simulations that provide evidence of the tests' practical abilities. As a whole, the paper provides researchers with the tools and knowledge needed to apply these tests to general measurement invariance scenarios.

Keywords: measurement invariance; parameter stability; ordinal variable; factor analysis; structural equation models (search for similar items in EconPapers)
JEL-codes: C30 C52 C87 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
Date: 2013-10
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www2.uibk.ac.at/downloads/c4041030/wpaper/2013-33.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inn:wpaper:2013-33

Access Statistics for this paper

More papers in Working Papers from Faculty of Economics and Statistics, University of Innsbruck Contact information at EDIRC.
Bibliographic data for series maintained by Janette Walde ().

 
Page updated 2020-01-17
Handle: RePEc:inn:wpaper:2013-33