title: Multinomial processing tree models: an implementation.
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.
authors.affiliation: Department of Psychology, University of Memphis, TN 38152, USA. x.hu@mail.psyc.memphis.edu
authors.forename: X
authors.initials: X
authors.lastname: Hu
mesh_terms: D000465:Algorithms; D019336:Cognitive Science / Q000379:methods*; D003627:Data Interpretation, Statistical; D006801:Humans; D008433:Mathematics; D015233:Models, Statistical; D009010:Monte Carlo Method; D011589:Psychology, Experimental / Q000379:methods*; D012984:Software