多项处理树模型  

Multinomial Processing Tree Models

作　　者：李双池[1] 徐明跃[1] 

机构地区：[1]哈尔滨师范大学

出　　处：《哈尔滨师范大学自然科学学报》2014年第5期4-6,共3页Natural Science Journal of Harbin Normal University

摘　　要：多项处理树建模方法是统计学中多项分布理论与心理学相关概念相结合的一种简单有效的研究方法,是一个专门用于处理心理学实验数据的通用平台.它的基本思想是把认知处理过程描绘成多棵处理树形式.该文提供一个多项处理树模型及其在心理学中应用的回顾.Muhinomial processing tree modeling method is a simple and effective approach developed from the polynomial distribution theory associated with some related concepts of cognitive psychology, and is a common platform designed for processing psychology experiment data. Its basic idea is treating the latent psychological processes as several processing trees. A review of MPT models and their applications in psychology is presented in this paper.

关 键 词：多项式建模 认知过程的测量 MPT模型 统计测试 软件 

分 类 号：O211.3[理学—概率论与数理统计]