The hierarchy of factor invariance

Phil Ender ()
Additional contact information
Phil Ender: UCLA Statistical Consulting Group

2013 Stata Conference from Stata Users Group

Abstract: Measurement invariance is a very important requisite in multiple group structural equation modeling. It attempts to verify that the factors are measuring the same underlying latent constructs within each group. The presentation will show the use of the sem command in assessing six types of factor invariance: configurational, metric, strong, strict, strict plus factor means, and strict plus factor means and variances. These six types of factor invariance constitute a hierarchy with each level representing a stricter definition of factor invariance.

Date: 2013-08-01
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:boc:norl13:1

Access Statistics for this paper

More papers in 2013 Stata Conference from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().