一个用于使用更新的最大似然自适应程序有效估计心理测量函数的MATLAB工具箱。
A MATLAB toolbox for the efficient estimation of the psychometric function using the updated maximum-likelihood adaptive procedure.
作者信息
Shen Yi, Dai Wei, Richards Virginia M
机构信息
Department of Cognitive Sciences, University of California, 3151 Social Sciences Plaza, Irvine, CA, 92697-5100, USA,
出版信息
Behav Res Methods. 2015 Mar;47(1):13-26. doi: 10.3758/s13428-014-0450-6.
Abstract
A MATLAB toolbox for the efficient estimation of the threshold, slope, and lapse rate of the psychometric function is described. The toolbox enables the efficient implementation of the updated maximum-likelihood (UML) procedure. The toolbox uses an object-oriented architecture for organizing the experimental variables and computational algorithms, which provides experimenters with flexibility in experimental design and data management. Descriptions of the UML procedure and the UML Toolbox are provided, followed by toolbox use examples. Finally, guidelines and recommendations of parameter configurations are given.
摘要
本文描述了一个用于有效估计心理测量函数的阈值、斜率和失误率的MATLAB工具箱。该工具箱能够高效地实现更新后的最大似然（UML）程序。该工具箱采用面向对象的架构来组织实验变量和计算算法，为实验者在实验设计和数据管理方面提供了灵活性。文中提供了UML程序和UML工具箱的描述，随后是工具箱的使用示例。最后，给出了参数配置的指导方针和建议。
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