A Note on Parameter Estimate Comparability: Across Latent Classes in Mixture IRT Modeling
1Florida State University, Tallahassee, USA.
Abstract:
The use of mixture item response theory modeling is exemplified typically by comparing item profiles across different latent groups. The comparisons of item profiles presuppose that all model parameter estimates across latent classes are on a common scale. This note discusses the conditions and the model constraint issues to establish a common scale across latent classes.
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