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The hierarchy of factor invariance

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  • Phil Ender

    (UCLA Statistical Consulting 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.

Suggested Citation

  • Phil Ender, 2013. "The hierarchy of factor invariance," 2013 Stata Conference 1, Stata Users Group.
    • Handle: RePEc:boc:norl13:1
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