Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Association for Psychological Science, Washington, DC, USA.
Memory. 2021 Apr;29(4):427-443. doi: 10.1080/09658211.2021.1901937. Epub 2021 Apr 7.
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 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 recognition experiments. The results generally accord with unequal-variance signal detection models of recognition memory.
置信-精度特征（CAC）图被开发用于目击者识别实验，先前的研究结果表明，在所有对无偏阵容中的成年人进行的研究中，高置信度表示高精度。我们通过计算基于反应和基于项目的精度，将 CAC 图应用于标准的识别记忆数据中，一种使用误报，另一种使用漏报。我们使用这两种方法来检查正确的旧反应（命中）和新反应（正确拒绝）的置信度-精度关系。我们使用这些方法重新分析了三组已发表的数据，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-精度关系。使用基于反应的命中精度，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。然而，当分析正确的拒绝时，置信度和精度之间的关系就不那么明显了。当诱饵与目标在语义上相关时，各种 CAC 图显示出不同的置信度-精度关系。计算 CAC 图的不同方法为分析标准的识别实验提供了有用的工具。结果通常与识别记忆的不等方差信号检测模型一致。
