Lehrstuhl Psychologie III, University of Mannheim, Mannheim, Germany.
Behav Res Methods. 2010 Feb;42(1):42-54. doi: 10.3758/BRM.42.1.42.
Multinomial processing tree (MPT) models are a family of stochastic models for psychology and related sciences that can be used to model observed categorical frequencies as a function of a sequence of latent states. For the analysis of such models, the present article presents a platform-independent computer program called multiTree, which simplifies the creation and the analysis of MPT models. This makes them more convenient to implement and analyze. Also, multiTree offers advanced modeling features. It provides estimates of the parameters and their variability, goodness-of-fit statistics, hypothesis testing, checks for identifiability, parametric and nonparametric bootstrapping, and power analyses. In this article, the algorithms underlying multiTree are given, and a user guide is provided. The multiTree program can be downloaded from http://psycho3.uni-mannheim.de/multitree.
多项处理树 (MPT) 模型是一套用于心理学和相关科学的随机模型，可用于将观察到的类别频率建模为一系列潜在状态的函数。为了分析此类模型，本文介绍了一个名为 multiTree 的与平台无关的计算机程序，它简化了 MPT 模型的创建和分析。这使得它们更便于实现和分析。此外，multiTree 还提供了高级建模功能。它提供了参数及其可变性的估计值、拟合优度统计、假设检验、可识别性检查、参数和非参数自举以及功效分析。本文给出了 multiTree 背后的算法，并提供了用户指南。multiTree 程序可从 http://psycho3.uni-mannheim.de/multitree 下载。
