An Introduction to Latent Class, Latent Profile and Latent Transition Analyses in R
Friday 24/11 and friday 01/12
Face-to-face course
Further information: Miguel González-Loureiro.
Coordinator of the inter-university PhD Program
This course will be about finite mixture models in R with either crosssectional or longitudinal data. These models can discover the potential existence of hidden groups in the sample. Fit indexes will help in the detection of the number of hidden groups. It also may prove nonheterogeneity in the sample based on certain variables. If it detects hidden groups, the scholar can characterize the groups based on the variables and even perform a multilogistic regression to know how much each variable is associated with the likelihood of membership to each group.
Apply here
NUMBER OF SEATS: there is a limited number of seats, on a first-in, first-served basis
Those admitted will receive a confirmation by email.
Click here to view and download the brochure in PDF format
An Introduction to Latent Class, Latent Profile and Latent Transition Analyses in R
Friday 24/11 and friday 01/12
Face-to-face course
Further information: Miguel González-Loureiro.
Coordinator of the inter-university PhD Program
This course will be about finite mixture models in R with either crosssectional or longitudinal data. These models can discover the potential existence of hidden groups in the sample. Fit indexes will help in the detection of the number of hidden groups. It also may prove nonheterogeneity in the sample based on certain variables. If it detects hidden groups, the scholar can characterize the groups based on the variables and even perform a multilogistic regression to know how much each variable is associated with the likelihood of membership to each group.
Apply here
NUMBER OF SEATS: there is a limited number of seats, on a first-in, first-served basis
Those admitted will receive a confirmation by email.
Click here to view and download the brochure in PDF format
