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- Title
HMMTree: A computer program for latent-class hierarchical multinomial processing tree models.
- Authors
Stahl, Christoph; Klauer, Karl Christoph
- 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.
- Subjects
COMPUTER software; HOMOGENEITY
- Publication
Behavior Research Methods, 2007, Vol 39, Issue 2, p267
- ISSN
1554-351X
- Publication type
Product Review
- DOI
10.3758/BF03193157