Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 7-Day Trial for You or Your Team.

Learn More →

Multiple-Group Factor Analysis Alignment

Multiple-Group Factor Analysis Alignment This article presents a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor means and variances without requiring exact measurement invariance. A strength of the method is the ability to conveniently estimate models for many groups. The method is a valuable alternative to the currently used multiple-group CFA methods for studying measurement invariance that require multiple manual model adjustments guided by modification indexes. Multiple-group CFA is not practical with many groups due to poor model fit of the scalar model and too many large modification indexes. In contrast, the alignment method is based on the configural model and essentially automates and greatly simplifies measurement invariance analysis. The method also provides a detailed account of parameter invariance for every model parameter in every group. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Structural Equation Modeling: A Multidisciplinary Journal Taylor & Francis

Multiple-Group Factor Analysis Alignment

14 pages

 
/lp/taylor-francis/multiple-group-factor-analysis-alignment-ushYAMtnB6

References (14)

Publisher
Taylor & Francis
Copyright
Copyright © Taylor & Francis Group, LLC
ISSN
1532-8007
eISSN
1070-5511
DOI
10.1080/10705511.2014.919210
Publisher site
See Article on Publisher Site

Abstract

This article presents a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor means and variances without requiring exact measurement invariance. A strength of the method is the ability to conveniently estimate models for many groups. The method is a valuable alternative to the currently used multiple-group CFA methods for studying measurement invariance that require multiple manual model adjustments guided by modification indexes. Multiple-group CFA is not practical with many groups due to poor model fit of the scalar model and too many large modification indexes. In contrast, the alignment method is based on the configural model and essentially automates and greatly simplifies measurement invariance analysis. The method also provides a detailed account of parameter invariance for every model parameter in every group.

Journal

Structural Equation Modeling: A Multidisciplinary JournalTaylor & Francis

Published: Oct 2, 2014

Keywords: measurement invariance; Mplus; multiple group factor analysis

There are no references for this article.