HMMTree: a computer program for latent-class hierarchical multinomial processing tree models
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Christoph Stahl1, Karl Christoph Klauer
1Institut für Psychologie, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany. stahl@psychologie.uni-freiburg.de
Abstract:
Latent-class hierarchical multinomial models are an important extension of the widely used family of multinomial processing tree models, in that they allow for testing the parameter homogeneity assumption and provide a framework for modeling parameter heterogeneity. In this article, the computer program HMMTree is introduced as a means of implementing latent-class hierarchical multinomial processing tree models. HMMTree computes parameter estimates, confidence intervals, and goodness-of-fit statistics for such models, as well as the Fisher information, expected category means and variances, and posterior probabilities for class membership. A brief guide to using the program is provided.
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