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Using SAS PROC TCALIS for multigroup structural equation modelling with mean structures
Article first published online: 1 FEB 2011
DOI: 10.1111/j.2044-8317.2010.02012.x
©2011 The British Psychological Society
Issue

British Journal of Mathematical and Statistical Psychology
Volume 64, Issue 3, pages 516–537, November 2011
Additional Information
How to Cite
Gu, F. and Wu, W. (2011), Using SAS PROC TCALIS for multigroup structural equation modelling with mean structures. British Journal of Mathematical and Statistical Psychology, 64: 516–537. doi: 10.1111/j.2044-8317.2010.02012.x
Publication History
- Issue published online: 4 OCT 2011
- Article first published online: 1 FEB 2011
- Received 17 August 2010; revised version received 15 December 2010
- Abstract
- Article
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Multigroup structural equation modelling (SEM) is a technique frequently used to evaluate measurement invariance in social and behavioural science research. Before version 9.2, SAS was incapable of handling multigroup SEM. However, this limitation is resolved in PROC TCALIS in SAS 9.2. For the purpose of illustration, this paper provides a step-by-step guide to programming the tests of measurement invariance and partial invariance using PROC TCALIS for multigroup SEM with mean structures. Fit indices and parameter estimates are validated, thus providing an alternative tool for researchers conducting both applied and simulated studies. Other new features (e.g., different types of modelling languages and estimation methods) and limitations (e.g., ordered-categorical SEM and multilevel SEM) of the TCALIS procedure are also briefly discussed.

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