An Investigation of the Alignment Method With Polytomous Indicators Under Conditions of Partial Measurement Invariance

• Published in: Structural equation modeling Vol. 25; no. 1; pp. 56 - 70
• Main Authors: Flake, Jessica K., McCoach, D. Betsy
• Format: Journal Article
• Language: English
• Published: Hove Routledge 02.01.2018; Psychology Press
• Subjects: alignment method; factor analysis; partial measurement invariance; polytomous indicators; Simulation
• ISSN: 1070-5511; 1532-8007
• DOI: 10.1080/10705511.2017.1374187

The alignment method (Asparouhov & Muthén, 2014) is an alternative to multiple-group factor analysis for estimating measurement models and testing for measurement invariance across groups. Simulation studies evaluating the performance of the alignment for estimating measurement models across groups show promising results for continuous indicators. This simulation study builds on previous research by investigating the performance of the alignment method's measurement models estimates with polytomous indicators under conditions of systematically increasing, partial measurement invariance. We also present an evaluation of the testing procedure, which has not been the focus of previous simulation studies. Results indicate that the alignment adequately recovers parameter estimates under small and moderate amounts of noninvariance, with issues only arising in extreme conditions. In addition, the statistical tests of invariance were fairly conservative, and had less power for items with more extreme skew. We include recommendations for using the alignment method based on these results.