ABSTRACT

Confidence-accuracy characteristic (CAC) plots were developed for use in eyewitness identification experiments, and previous findings show that high confidence indicates high accuracy in all studies of adults with an unbiased lineup. We apply CAC plots to standard old/new recognition memory data by calculating response-based and item-based accuracy, one using false alarms and the other using misses. We use both methods to examine the confidence-accuracy relationship for both correct old responses (hits) and new responses (correct rejections). We reanalysed three sets of published data using these methods and show that the method chosen, as well as the relation of lures to targets, determines the confidence-accuracy relation. Using response-based accuracy for hits, high confidence yields quite high accuracy, and this is generally true with the other methods, especially when lures are unrelated to targets. However, when analyzing correct rejections, the relationship between confidence and accuracy is less pronounced. When lures are semantically related to targets, the various CAC plots show different confidence-accuracy relations. The different methods of calculating CAC plots provide a useful tool in analyzing standard old/new recognition experiments. The results generally accord with unequal-variance signal detection models of recognition memory.

摘要

置信-准确度特征 (CAC) 图被开发用于目击者识别实验，之前的研究结果表明，高置信度表明所有对具有公正阵容的成年人的研究都具有很高的准确性。我们将 CAC 图应用于标准的旧/新通过计算基于响应和基于项目的准确性来识别内存数据，一种使用误报，另一种使用未命中。我们使用这两种方法来检查正确的旧响应（命中）和新响应（正确拒绝）的置信度-准确度关系。我们使用这些方法重新分析了三组已发布的数据，并表明所选择的方法以及诱饵与目标的关系决定了置信度与准确度的关系。使用基于响应的命中精度，高置信度会产生相当高的精度，其他方法通常也是如此，尤其是当诱饵与目标无关时。但是，在分析正确的拒绝时，置信度和准确性之间的关系不太明显。当诱饵在语义上与目标相关时，各种 CAC 图显示了不同的置信度-准确度关系。计算 CAC 图的不同方法为分析标准提供了有用的工具旧/新识别实验。结果与识别记忆的不等方差信号检测模型基本一致。