To ease the use of LGMM/LCGA step-by-step in this symposium guidelines are presented which can be used for researchers applying the methods to longitudinal data, for example the development of PTSD after trauma . The guidelines include how to use the software Mplus to run the set of models needed to answer the research question: how many latent classes exist in the data? The next step described in the guidelines is how to add covariates/predictors to predict class membership using the three-step approach. Lastly, it is described what the essentials are to report in the paper.
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TagsBayesian Estimation Bayesian statistics Big-Thinking Blavaan burn survivors bursary students DAC deep thinking DIC DJA DSEM EJDP expert knowledge FFP Friday GrOLTS Jonge Akademie KNAW Lcga Lgmm Longitudinal data analysis Mixture modeling Mplus multilevel analaysis ongelijkheid PhD posterior predictive p-value ppp-value priors promoveren protest Psychotraumatology Ptsd QRP Questionable Research replication Review SEM small samples special issue StatsCamp Summer School WAMBS