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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References
Collins L.M., Lanza S.T. [2010], Latent Class and Latent Transition Analysis, Wiley, Hoboken.
Chung W., Walls T.A. [2007], A Latent Transition Model with Logistic Regression, „Psychometrica” vol. 72, nr 3. DOI: https://doi.org/10.1007/s11336-005-1382-y
Dias J.G., Vermunt J.K. [2007], Latent Class Modeling of Website Users’ Search Patterns: Implications for Online Market Segmentation, „Journal of Retailing and Consumer Services”, vol. 14, nr 6. DOI: https://doi.org/10.1016/j.jretconser.2007.02.007
Everitt B. [2006], The Cambridge Dictionary of Statistics, Cambridge University Press, Cambridge.
Frazer A.M. [2011], Hidden Markov Models and Dynamic Systems, Society for Industrial and Applied Mathematics, Philadelphia.
Guo B. et al. [2009], Using Latent Class and Latent Transition Analysis to Examine the Transtheoretical Model Staging Algorithm and Sequential Stage Transition in Adolescent Smoking, „Substance Use & Misuse”, vol. 44, nr 14. DOI: https://doi.org/10.3109/10826080902848665
Poulsen C.S. [1990], Mixed Markov and Latent Markov Modeling Applied to Brand Choice Behavior, „International Journal of Research in Marketing”, vol. 7, nr 11. DOI: https://doi.org/10.1016/0167-8116(90)90028-L
Ramaswamy V. [1997], Evolutionary Preference Segmentation with Panel Survey Data: An Application to New Products, „International Journal of Research in Marketing”, vol. 14, nr 1. DOI: https://doi.org/10.1016/S0167-8116(96)00028-6
Wedel M., Kamakura W.A. [2000], Market Segmentation. Conceptual and Methodological Foundation, Kluwer Academic, Boston.
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