On the statistical and theoretical basis of signal detection theory and extensions: Unequal variance, random coefficient, and mixture models

被引：48

作者：

DeCarlo, Lawrence T. ^{[1
]}

机构：

[1] Columbia Univ, Teachers Coll, Dept Human Dev, New York, NY 10027 USA

来源：

JOURNAL OF MATHEMATICAL PSYCHOLOGY | 2010年 / 54卷 / 03期

关键词：

Signal detection theory; Unequal variance model; Mixture model; Generalized linear mixed model; Random slope; Random intercept; Variable strength; Variable criterion; RECOGNITION; NOISE; DISTRIBUTIONS; STRENGTH; MEMORY;

D O I：

10.1016/j.jmp.2010.01.001

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Basic results for conditional means and variances, as well as distributional results, are used to clarify the similarities and differences between various extensions of signal detection theory (SDT). It is shown that a previously presented motivation for the unequal variance SDT model (varying strength) actually leads to a related, yet distinct, model. The distinction has implications for other extensions of SDT, such as models with criteria that vary over trials. It is shown that a mixture extension of SOT is also consistent with unequal variances, but provides a different interpretation of the results; mixture SDT also offers a way to unify results found across several types of studies. (C) 2010 Elsevier Inc. All rights reserved.

引用

页码：304 / 313

页数：10