Factorial invariance in multilevel confirmatory factor analysis. (18th May 2013)

• Record Type: Journal Article
• Authors: Ryu, Ehri
• Is Part Of: British journal of mathematical & statistical psychology. Volume 67:Part 1(2014:Feb.)
• Page Start: 172
• Page End: 194
• Publication Date: 2013-05-18
• Subjects: Psychometrics -- Periodicals; Psychology -- Mathematical models -- Periodicals; Psychology -- Statistical methods -- Periodicals; 150.727
• DOI: 10.1111/bmsp.12014
• Languages: English
• ISSNs: 0007-1102

Abstract

<abstract abstract-type="main" xml:lang="en" id="bmsp12014-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p>This paper presents a procedure to test factorial invariance in multilevel confirmatory factor analysis. When the group membership is at level 2, multilevel factorial invariance can be tested by a simple extension of the standard procedure. However level‐1 group membership raises problems which cannot be appropriately handled by the standard procedure, because the dependency between members of different level‐1 groups is not appropriately taken into account. The procedure presented in this article provides a solution to this problem. This paper also shows Muthén's maximum likelihood (MUML) estimation for testing multilevel factorial invariance across level‐1 groups as a viable alternative to maximum likelihood estimation. Testing multilevel factorial invariance across level‐2 groups and testing multilevel factorial invariance across level‐1 groups are illustrated using empirical examples. SAS macro and Mplus syntax are provided.</p> </abstract>