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Using SAS PROC TCALIS for multigroup structural equation modelling with mean structures.

Fei Gu1, Wei Wu

  • 1Department of Psychology and Research in Education, University of Kansas, USA. fgu@ku.edu

The British Journal of Mathematical and Statistical Psychology
|October 7, 2011
PubMed
Summary
This summary is machine-generated.

SAS 9.2 now supports multigroup structural equation modeling (SEM) with PROC TCALIS, enabling measurement invariance testing. This guide offers a step-by-step approach for researchers using SEM in social and behavioral sciences.

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Area of Science:

  • Social and Behavioral Sciences
  • Quantitative Psychology
  • Statistical Modeling

Background:

  • Multigroup structural equation modeling (SEM) is crucial for measurement invariance testing.
  • Previous SAS versions lacked capabilities for multigroup SEM.
  • SAS 9.2 introduced PROC TCALIS, addressing this limitation.

Purpose of the Study:

  • To provide a guide for implementing multigroup SEM with mean structures using PROC TCALIS in SAS 9.2.
  • To illustrate programming for tests of measurement invariance and partial invariance.
  • To validate fit indices and parameter estimates for PROC TCALIS.

Main Methods:

  • Utilizing PROC TCALIS in SAS 9.2 for multigroup SEM.
  • Step-by-step programming for measurement invariance tests.
  • Validation of fit indices and parameter estimates.

Main Results:

  • SAS 9.2's PROC TCALIS effectively handles multigroup SEM.
  • The procedure allows for testing measurement invariance and partial invariance.
  • Validated results offer a reliable tool for researchers.

Conclusions:

  • PROC TCALIS in SAS 9.2 is a viable alternative for multigroup SEM analysis.
  • The guide facilitates applied and simulated research in measurement invariance.
  • Further discussion covers new features and limitations of PROC TCALIS.