“Nonparametric”A’ and other modern misconceptions about signal detection theory
“Nonparametric”A’ and other modern misconceptions about signal detection theory
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“非参数”A’和其他关于信号检测理论的现代误解
DOI：
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发表时间：
2003
影响因子：
3.5
通讯作者：
Michael A. Skelly
中科院分区：
文献类型：
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作者：
R. Pastore;E. Crawley;M. S. Berens;Michael A. Skelly
许多信号检测理论（SDT）的现代描述充其量是对SDT的高斯等方差模型（G-SDT）的扭曲漫画。这种扭曲有时会导致关于认知过程本质的重要但毫无根据的结论。一些研究人员拒绝使用* *和* *，因为担心明确的潜在假设的有效性（与大多数推论统计共享），而是使用所谓的a '和b的“非参数”测量″或已知的混淆能力和偏见的测量。总结了SDT的起源、发展和基本假设，然后与现代的扭曲和误解进行了对比。描述了敏感性和偏差的常见描述性统计的性质和解释，以及关于使用的重要实用考虑。对SDT的深入了解为研究人员提供了更好地评估他们自己的发现和其他人使用SDT测量和分析得出的结论的有效性的工具。
Many modern descriptions of signal detection theory (SDT) are, at best, distorted caricatures of the Gaussian equal-variance model of SDT (G-SDT). The distortions have sometimes led to important, but unwarranted, conclusions about the nature of cognitive processes. Some researchers reject using ď and β because of concerns about the validity of explicit underlying assumptions (that are shared with most inferential statistics), instead using either the supposedly “nonparametric” measures ofA′ andB″ or measures known to confound ability and bias. The origins, development, and underlying assumptions of SDT are summarized, then contrasted with modern distortions and misconceptions. The nature and interpretation of common descriptive statistics for sensitivity and bias are described along with important pragmatic considerations about use. A deeper understanding of SDT provides researchers with tools that better evaluate both their own findings and the validity of conclusions drawn by others who have utilized SDT measures and analyses.
影响因子：
22.4
作者：
SWETS, JA
通讯作者：
SWETS, JA