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在 DRM 列表中多个关键单词的错误识别中,反向联想强度的作用。

The role of backward associative strength in false recognition of DRM lists with multiple critical words.

机构信息

University of Salamanca.

出版信息

Psicothema. 2017 Aug;29(3):358-363. doi: 10.7334/psicothema2016.248.

Abstract

BACKGROUND

Memory is a reconstruction of the past and is prone to errors. One of the most widely-used paradigms to examine false memory is the Deese/Roediger-McDermott (DRM) paradigm. In this paradigm, participants studied words associatively related to a non-presented critical word. In a subsequent memory test critical words are often falsely recalled and/or recognized.

METHOD

In the present study, we examined the influence of backward associative strength (BAS) on false recognition using DRM lists with multiple critical words. In forty-eight English DRM lists, we manipulated BAS while controlling forward associative strength (FAS). Lists included four words (e.g., prison, convict, suspect, fugitive) simultaneously associated with two critical words (e.g., CRIMINAL, JAIL).

RESULTS

The results indicated that true recognition was similar in high-BAS and low-BAS lists, while false recognition was greater in high-BAS lists than in low-BAS lists. Furthermore, there was a positive correlation between false recognition and the probability of a resonant connection between the studied words and their associates.

CONCLUSIONS

These findings suggest that BAS and resonant connections influence false recognition, and extend prior research using DRM lists associated with a single critical word to studies of DRM lists associated with multiple critical words.

摘要

背景

记忆是对过去的重建,容易出错。最广泛用于检查错误记忆的范式之一是 Deese/Roediger-McDermott(DRM)范式。在这个范式中,参与者通过联想学习与未呈现的关键词相关的单词。在随后的记忆测试中,关键词经常被错误地回忆和/或识别。

方法

在本研究中,我们使用具有多个关键词的 DRM 列表检查了反向联想强度(BAS)对错误识别的影响。在四十八个英语 DRM 列表中,我们在控制前向联想强度(FAS)的同时操纵 BAS。列表包括四个单词(例如,监狱、罪犯、嫌疑人、逃犯),同时与两个关键词(例如,刑事、监禁)相关联。

结果

结果表明,高 BAS 和低 BAS 列表中的真实识别相似,而高 BAS 列表中的错误识别大于低 BAS 列表。此外,研究词与其联想之间的共振连接的概率与错误识别之间存在正相关。

结论

这些发现表明 BAS 和共振连接会影响错误识别,并将先前使用与单个关键词相关联的 DRM 列表的研究扩展到与多个关键词相关联的 DRM 列表的研究。

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