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Judgments of learning index relative confidence, not subjective probability

机译:学习指数的判断是相对置信度,不是主观概率

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The underconfidence-with-practice (UWP) effect is a common finding in calibration studies concerned with judgments of learning (JOLs) elicited on a percentage scale. The UWP pattern is present when, in a procedure consisting of multiple study-test cycles, the mean scale JOLs underestimate the mean recall performance on Cycle 2 and beyond. Although this pattern is present both for items recalled and unrecalled on the preceding cycle, to date research has concentrated mostly on the sources of UWP for the latter type of items. In the present study, we aimed to bridge this gap. In three experiments, we examined calibration on the third of three cycles. The results of Experiment 1 demonstrated the typical pattern of higher recall and scale JOLs for previously recalled items than for unrecalled ones. More importantly, they also revealed that even though the UWP effect was found for items previously recalled both once and twice, its magnitude was greater for the former class of items. Experiments 2 and 3, which employed a binary betting task and a binary 0 %/100 % JOL task, respectively, demonstrated that people can accurately predict future recall for previously recalled items with binary decisions. In both experiments, the UWP effect was absent for both items recalled once and twice. We suggest that the sensitivity of scale JOLs, but not binary judgments, to the number of previous recall successes strengthens the claim of Hanczakowski, Zawadzka, Pasek, and Higham (Journal of Memory and Language 69:429-444, 2013) that scale JOLs reflect confidence in, rather than the subjective probability of, future recall.
机译:实践缺乏自信(UWP)效应是与以百分比量表引发的学习判断(JOL)有关的校准研究的常见发现。当在由多个学习测试周期组成的过程中,平均量表JOL低估了第2周期及以后的平均召回表现时,就会出现UWP模式。尽管在上一个周期中召回和未召回的物品均存在这种模式,但迄今为止,研究主要集中在后一种物品的UWP来源上。在本研究中,我们旨在弥合这一差距。在三个实验中,我们检查了三个周期中第三个周期的校准。实验1的结果证明了以前召回的物品比未召回的物品具有更高召回率和规模JOL的典型模式。更重要的是,他们还透露,即使对以前被召回过两次的物品都发现了UWP效应,但对于前一类物品,其幅度更大。实验2和3分别采用了二进制下注任务和0%/ 100%二进制JOL任务,证明了人们可以通过二进制决策准确地预测以前召回的物品的未来召回。在两个实验中,一次和两次召回的两个项目都没有UWP效应。我们建议,规模化JOL对先前召回成功次数的敏感性(而不是二元判断)增强了Hanczakowski,Zawadzka,Pasek和Higham对规模化JOL的主张(2013年记忆与语言杂志69:429-444)反映出对未来召回的信心,而不是主观的可能性。

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