eng TQMP Tutorials in Quantitative Methods for Psychology 1913-4126 2011-06-08 7 2 32 41 article Léon Harvey leon_harvey@uqar.ca 1 Université du Québec à Rimouski This paper introduces Hidden Markov Models for the analysis of authentic learning data from an applied field. For illustrative purposes, it shows how classical 2-state all-or-none models can be extended to adequately fit the competence development process of nursery apprentices in a clinical context. It also presents some of the main underlying ideas, such as model specifications, parameters estimation, model selection, the Viterbi algorithm, and goodness-of-fit issues. http://www.tqmp.org/Content/vol07-2/p032/p032.pdf learning situation hidden markov model