General recognition theory of categorization: A MATLAB toolbox

被引：0
|
作者：
Alfonso-Reese, Leola A. [1 ]
机构：
[1] San Diego State Univ, Dept Psychol, San Diego, CA 92182 USA
来源：
BEHAVIOR RESEARCH METHODS | 2006年 / 38卷 / 04期
关键词：
D O I：
暂无
中图分类号：
B841 [心理学研究方法];
学科分类号：
040201 ;
摘要：
General recognition theory (GRT) is both a theory of categorization and a framework for studying human categorization behavior. The GRT toolbox is a set of MATLAB scripts and subroutines that can help an experimenter design categorization experiments, generate stimuli for these experiments, simulate a participant's responses, analyze categorization data, and graph results. The typical user designs experiments for two-category tasks in which the categories are specified by multivariate normal distributions. The toolbox also provides tools for fitting the general linear classifier and the general quadratic classifier to a data set.
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收藏
页码：579 / 583
页数：5
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