Multinomial processing tree models: An implementation

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 1999 English Publisher:Springer Science and Business Media LLCJournal:Behavior Research Methods, Instruments, & Computers, volume 31, pages 689-695 (issn: 0743-3808, eissn: 1532-5970,

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Authors: X, Hu;

doi: 10.3758/bf03200747

pmid: 10633986

Multinomial processing tree models: An implementation

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Abstract

Multinomial processing tree (MPT) models have been widely used by researchers in cognitive psychology. This paper introduces MBT.EXE, a computer program that makes MPT easy to use for researchers. MBT.EXE implements the statistical theory developed by Hu and Batchelder (1994). This user-friendly software can be used to construct MPT models and conduct statistical inferences, including point and interval estimation, hypothesis testing, and goodness of fit. Furthermore, this program can be used to examine the robustness of MPT models. Algorithms for parameter estimation, hypothesis testing, and Monte Carlo simulation are presented.

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University of Memphis
United States

Keywords

Models, Statistical, Psychology, Experimental, Data Interpretation, Statistical, Cognitive Science, Humans, Monte Carlo Method, Algorithms, Mathematics, Software

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