Modeling associative recognition: A comparison of two-high-threshold, two-high-threshold signal detection, and mixture distribution models

被引：13

作者：

Macho, S ^{[1
]}

机构：

[1] Univ Fribourg, CH-1700 Fribourg, Switzerland

来源：

JOURNAL OF EXPERIMENTAL PSYCHOLOGY-LEARNING MEMORY AND COGNITION | 2004年 / 30卷 / 01期

关键词：

D O I：

10.1037/0278-7393.30.1.83

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

A 2-high-threshold signal detection (HTSDT) model, a mixture distribution (SON) model, and 2-high-threshold (HT) models with responses distributed over I or several response categories were fit to results of 6 experiments from 2 studies on associative recognition: R. Kelley and J. T. Wixted (2001) and A. P. Yonelinas (1997). HTSDT assumes that associative recognition is based on conscious recollection and familiarity assessment, whereas according to SON and HT, associative information results in a shift of familiarity. The modeling results cast doubt on the prominent role of conscious recollection, and as far as models are valid, parameter estimation suggests 2 processes in associative recognition: a shift in familiarity that is due to associative information and the determination of the source of familiarity of pairs.

引用

页码：83 / 97

页数：15

共 33 条

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