IHMJ2112 Mixture modelling (2 op)

The sample could supposed to have data from sub population having differences in mean or covariance structures. The Gaussian mixture model offers tool to find those sub populations. The course present theory and general concepts related to this method. It further presents the stages in mixture modelling with latent profile analysis and growth mixture modelling, which are two often used model specified in mixture modelling. The course present short examples of different options to specify mixture models and extensions of mixture modelling in multigroup and multilevel context.

Video lecture and text material with exercises.
Literature:
Gregory R. Hancock & Karen M. Samuelsen. Advances in latent variable mixture models.
Aunola, K., Tolvanen, A., Kiuru, N., Kaila, S., Mullola, S., & Nurmi, J.-E. (2015). A Person-Oriented Approach to Diary Data: Children’s Temperamental Negative Emotionality Increases Susceptibility to Emotion Transmission in Father-Child Dyads. Journal for Person-Oriented Research, 1 (1-2), 72-86. doi:10.17505/jpor.2015.08 Open access.