Variable Impact on cluster membership Sample Clauses

Variable Impact on cluster membership. ‌ After identifying the latent class solution that best fits the data, differences among the predicted classes were examined for important covariates and concurrent outcomes outside the models. The aim is to assess for differences in demographic and clinical characteristics, symptom severity scores, functioning scales and other psychological scales and outcomes of interest among the growth mixture model latent classes at each time point, and find determinants that explain the divergence between latent trajectory clusters. This is done here using classical statistical analysis, x.x. Xxxxxxx-Wallis test, chi-squared test, Repeated Anova, post hoc analysis and time series plots. The results are in the process of analysis and clinical interpretation. Indicative results are provided here.
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