Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class–latent growth modeling.

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Latent Profile Analysis (2017, unknown): “We used LPA (B. Muthén, 2001; B. O. Muthén, 2004; L. K. Muthén & Muthén, 1998-2009; Nylund, Asparouhov, & Muthén, 2007) to identify profiles in our sample.”
(Why) Should We Use SEM? Pros and Cons of Structural Equation Modeling (2003, background): “A great deal of important work has been carried out with noncontinuous data (Jöreskog, Sörbom, du Toit and du Toit (1999) for ordinal variables respectively Muthén, 2001a; Muthén, 2001b for categorical variables).”
On the relationship between sources of within- and between-group differences and measurement invariance in the common factor model (2003, background): “First, one can specify the hypothesis that background variables influence only the 4 Investigating the same group across time is called latent growth modeling and is thoroughly described elsewhere (Muthén, 2001). factor(s).”
Handbook of Forgiveness (2007, methodology): “The multilevel linear growth model rests on the assumption that there is only one type of trajectory for describing every person’s pattern of longitudinal change (Muthén, 2001), although there is variation among people’s values on the growth parameters.”