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使用ROC曲线测试全局记忆模型。

Testing global memory models using ROC curves.

作者信息

Ratcliff R, Sheu C F, Gronlund S D

机构信息

Psychology Department, Northwestern University, Evanston, Illinois 60208.

出版信息

Psychol Rev. 1992 Jul;99(3):518-35. doi: 10.1037/0033-295x.99.3.518.

DOI:10.1037/0033-295x.99.3.518
PMID:1502275
Abstract

Global memory models are evaluated by using data from recognition memory experiments. For recognition, each of the models gives a value of familiarity as the output from matching a test item against memory. The experiments provide ROC (receiver operating characteristic) curves that give information about the standard deviations of familiarity values for old and new test items in the models. The experimental results are consistent with normal distributions of familiarity (a prediction of the models). However, the results also show that the new-item familiarity standard deviation is about 0.8 that of the old-item familiarity standard deviation and independent of the strength of the old items (under the assumption of normality). The models are inconsistent with these results because they predict either nearly equal old and new standard deviations or increasing values of old standard deviation with strength. Thus, the data provide the basis for revision of current models or development of new models.

摘要

通过使用来自识别记忆实验的数据来评估全局记忆模型。对于识别,每个模型都会给出一个熟悉度值,作为将测试项目与记忆进行匹配的输出。这些实验提供了ROC(接收器操作特性)曲线,这些曲线给出了模型中旧测试项目和新测试项目熟悉度值的标准差信息。实验结果与熟悉度的正态分布一致(这是模型的一个预测)。然而,结果还表明,新项目熟悉度标准差约为旧项目熟悉度标准差的0.8倍,并且与旧项目的强度无关(在正态性假设下)。这些模型与这些结果不一致,因为它们预测的要么是新旧标准差几乎相等,要么是旧标准差随强度增加。因此,这些数据为修订当前模型或开发新模型提供了基础。

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