T. Meiser et B. Ohrt, MODELING STRUCTURE AND CHANCE IN TRANSITIONS - MIXED LATENT PARTIAL MARKOV-CHAIN MODELS, Journal of educational and behavioral statistics, 21(2), 1996, pp. 91-109
Citations number
42
Categorie Soggetti
Social Sciences, Mathematical Methods","Education & Educational Research
A family of finite mixture distribution models is presented which allo
ws specification of basically different developmental processes in dis
tinct latent subpopulations. In particular; random fluctuation between
stares for one latent subpopulation can be modeled together with stab
ility or coherent developmental trajectories for others. Formally, the
se models are introduced within the framework of mixed latent Markov c
hains with multiple indicators per occasion. Identifiability condition
s which become necessary because of the random fluctuation assumption
for a part of the population are discussed. Model specification and in
terpretation are illustrated by an application to empirical data on th
erapeutic interventions in infancy and early childhood.