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首页> 外文期刊>Cognitive Psychology >Evaluating the unequal-variance and dual-process explanations of zROC slopes with response time data and the diffusion model
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Evaluating the unequal-variance and dual-process explanations of zROC slopes with response time data and the diffusion model

机译：用响应时间数据和扩散模型评估zROC斜率的不等方差和双过程解释

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We tested two explanations for why the slope of the z-transformed receiver operating characteristic (zROC) is less than 1 in recognition memory: the unequal-variance account (target evidence is more variable than lure evidence) and the dual-process account (responding reflects both a continuous familiarity process and a threshold recollection process). These accounts are typically implemented in signal detection models that do not make predictions for response time (RT) data. We tested them using RT data and the diffusion model. Participants completed multiple study/test blocks of an "old"/"new" recognition task with the proportion of targets and the test varying from block to block (.21, .32, .50, .68, or .79 targets). The same participants completed sessions with both speedemphasis and accuracy-emphasis instructions. zROC slopes were below one for both speed and accuracy sessions, and they were slightly lower for speed. The extremely fast pace of the speed sessions (mean RT = 526) should have severely limited the role of the slower recollection process relative to the fast familiarity process. Thus, the slope results are not consistent with the idea that recollection is responsible for slopes below 1. The diffusion model was able to match the empirical zROC slopes and RT distributions when between-trial variability in memory evidence was greater for targets than for lures, but missed the zROC slopes when target and lure variability were constrained to be equal. Therefore, unequal variability in continuous evidence is supported by RT modeling in addition to signal detection modeling. Finally, we found that a two-choice version of the RTCON model could not accommodate the RT distributions as successfully as the diffusion model.
机译：我们测试了为什么z转换的接收器工作特征（zROC）的斜率在识别内存中小于1的两种解释：不等方差账户（目标证据比诱饵证据更具可变性）和双进程账户（响应反映持续的熟悉过程和阈值收集过程）。这些帐户通常在不对响应时间（RT）数据进行预测的信号检测模型中实现。我们使用RT数据和扩散模型对其进行了测试。参与者完成了“旧” /“新”识别任务的多个学习/测试模块，目标和测试的比例因模块而异（.21，.32，.50，.68或.79目标）。相同的参与者完成了关于速度强调和准确性强调说明的会议。在速度和准确性方面，zROC斜率均低于1，而速度则略低。相对于快速熟悉的过程，极速的速度运动（平均RT = 526）应严格限制较慢的回忆过程的作用。因此，斜率结果与认为回忆小于1的斜率有关的观点不一致。当记忆证据的两次试验之间的可变性大于目标诱因时，扩散模型能够匹配经验zROC斜率和RT分布，但是当目标和诱饵的可变性被约束为相等时，错过了zROC斜率。因此，除了信号检测建模之外，RT建模还支持连续证据中的不等变异性。最后，我们发现RTCON模型的两选版本无法像扩散模型那样成功地容纳RT分布。

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