Predicting recall of words and lists.
Predicting recall of words and lists.
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DOI：
10.1037/xlm0000964
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发表时间：
2021-05
期刊：
影响因子：
--
通讯作者：
Kahana MJ
中科院分区：
文献类型：
--
作者：
Aka A;Phan TD;Kahana MJ
半个多世纪以来，单词列表一直是人类记忆研究的首选备忘录。为了更好地理解为什么某些单词和列表比其他单词和列表更容易回忆，我们估计了单词和列表回忆的多元模型。在 23 个课程中，受试者 (N = 98) 学习并回忆同一组 576 个单词，这些单词呈现在 24 个学习测试列表中。对这些数据拟合统计模型揭示了活力、语境多样性、效价、唤醒度、具体性和语义结构对单个单词回忆的积极影响。接下来我们询问是否可以使用类似的方法来解释召回性能的列表级别变异性。在这里，我们假设语义连贯的列表是最容易记住的。与这一预测一致，我们发现按时间距离加权的语义相似性是列表级召回的强正预测因子。此外，我们发现平均上下文多样性、效价、活力和具体性对列表级回忆有显着影响。我们的研究结果扩展了以前的项目级召回率模型，并表明项目召回率的总体衡量也解释了列表级性能的变化。
For more than a half-century, lists of words have served as the memoranda of choice in studies of human memory. To better understand why some words and lists are easier to recall than others, we estimated multivariate models of word and list recall. In each of the 23 sessions, subjects (N = 98) studied and recalled the same set of 576 words, presented in 24 study-test lists. Fitting a statistical model to these data revealed positive effects of animacy, contextual diversity, valence, arousal, concreteness, and semantic structure on recall of individual words. We next asked whether a similar approach would allow us to account for list-level variability in recall performance. Here we hypothesized that semantically coherent lists would be most memorable. Consistent with this prediction, we found that semantic similarity, weighted by temporal distance, was a strong positive predictor of list-level recall. Additionally, we found significant effects of average contextual diversity, valence, animacy, and concreteness on list-level recall. Our findings extend previous models of item-level recall, and show that aggregate measures of item recallability also account for variability in list-level performance.
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影响因子：
5.4
作者：
Healey, M. Karl;Kahana, Michael J.
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影响因子：
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作者：
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通讯作者：
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