Multilevel Factorial Invariance in n-Level Structural Equation Modeling (nSEM). Issue 6 (2nd November 2017)

• Record Type: Journal Article
• Authors: Ryu, Ehri; Mehta, Paras
• Is Part Of: Structural equation modeling. Volume 24:Issue 6(2017)
• Page Start: 936
• Page End: 959
• Publication Date: 2017-11-02
• Subjects: measurement invariance -- multigroup multilevel structural equation model -- multilevel factorial invariance -- n-level structural equation modeling; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2017.1324311
• Languages: English
• ISSNs: 1070-5511

Abstract

Abstract : We present a multigroup multilevel confirmatory factor analysis (CFA) model and a procedure for testing multilevel factorial invariance in n-level structural equation modeling (nSEM). Multigroup multilevel CFA introduces a complexity when the group membership at the lower level intersects the clustered structure, because the observations in different groups but in the same cluster are not independent of one another. nSEM provides a framework in which the multigroup multilevel data structure is represented with the dependency between groups at the lower level properly taken into account. The procedure for testing multilevel factorial invariance is illustrated with an empirical example using an R package xxm2.