The latent growth model (LGM) is a popular tool in the social and behavioral sciences to study development processes of continuous and discrete outcome variables. A special case are frequency measurements of behaviors or events, such as doctor visits per month or crimes committed per year. Probability distributions for such outcomes include the…

In this experiment, syntactic constraints on the retrieval of orthography were investigated using homophones embedded in sentence contexts. Participants typed auditorily presented sentences that included a contextually appropriate homophone that either shared part of speech with its homophone competitor (i.e., was syntactically unambiguous) or had…

Latent class analysis (LCA) is a statistical method used to identify a set of discrete, mutually exclusive latent classes of individuals based on their responses to a set of observed categorical variables. In multiple-group LCA, both the measurement part and structural part of the model can vary across groups, and measurement invariance across…