Multinomial Processing Tree Models
- 1 January 2009
- journal article
- Published by Hogrefe Publishing Group in Zeitschrift für Psychologie / Journal of Psychology
- Vol. 217 (3), 108-124
- https://doi.org/10.1027/0044-3409.217.3.108
Abstract
Multinomial processing tree (MPT) models have become popular in cognitive psychology in the past two decades. In contrast to general-purpose data analysis techniques, such as log-linear models or other generalized linear models, MPT models are substantively motivated stochastic models for categorical data. They are best described as tools (a) for measuring the cognitive processes that underlie human behavior in various tasks and (b) for testing the psychological assumptions on which these models are based. The present article provides a review of MPT models and their applications in psychology, focusing on recent trends and developments in the past 10 years. Our review is nontechnical in nature and primarily aims at informing readers about the scope and utility of MPT models in different branches of cognitive psychology.Keywords
This publication has 100 references indexed in Scilit:
- No enhanced recognition memory, but better source memory for faces of cheatersEvolution and Human Behavior, 2009
- Reasoning with conditionals: A test of formal models of four theoriesCognitive Psychology, 2006
- Social categorization and fit detection under cognitive load: efficient or effortful?European Journal of Social Psychology, 2005
- Representing parametric order constraints in multi-trial applications of multinomial processing tree modelsJournal of Mathematical Psychology, 2004
- Extending General Processing Tree Models to Analyze Reaction Time ExperimentsJournal of Mathematical Psychology, 2001
- How to Assess a Model's Testability and IdentifiabilityJournal of Mathematical Psychology, 2000
- Forgetting rates are comparable in conscious and automatic memory: A process-dissociation study.Journal of Experimental Psychology: Learning, Memory, and Cognition, 1999
- Decomposing the hindsight bias: A multinomial processing tree model for separating recollection and reconstruction in hindsight.Journal of Experimental Psychology: Learning, Memory, and Cognition, 1998
- On the recollection of specific- and partial-source information.Journal of Experimental Psychology: Learning, Memory, and Cognition, 1998
- A formal theory of feature binding in object perception.Psychological Review, 1996