Mplus in Latent Transition Model Estimations in Market Segmentation
DOI:
https://doi.org/10.15678/ZNUEK.2014.0928.0408Keywords:
latent transition model, market segmentation, hidden Markov chains, Mplus softwareAbstract
The article is devoted to the applications of latent transition models (LTA) in dynamic market segmentation. A generalisation of the latent class models, these models take into account the dynamic nature of the data. They allow for the identification of unobserved market segments, the assessment of conditional probabilities and transition patterns within latent statuses in time. LTA model was used to evaluate the dynamic segments in three separate waves of research based on economic status indicators in data from the Polish General Social Survey.
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