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长期存储损失:多存储模型面临的困境。

Long-Term Storage Losses: A Dilemma for Multistore Models.

作者信息

Chechile R A, Ehrensbeck K

机构信息

a Tufts University , USA.

出版信息

J Gen Psychol. 1983 Jul;109(1):15-30. doi: 10.1080/00221309.1983.9711505.

Abstract

The Chechile and Meyer storage-retrieval analysis was used to study the retention of 18 paired associates. Prior to testing on each trial, Ss digit-shadowed for 20 sec to assure that testing was from the presumed long-term store of multistore models. Ss (N = 80) learned the first A-B list to either a partial learning or an overlearning criterion and then had six trials on a second list. The overlearning Ss showed only retrieval difficulties, whereas the partial-learning Ss showed difficulties with both storage and retrieval. The results are interpreted as contrary to multistore memory models. An alternative framework is suggested to account for the results of the study.

摘要

使用切奇勒和迈耶的存储-提取分析来研究18对联想词的记忆保持情况。在每次试验测试前,被试进行20秒的数字跟读,以确保测试是基于多存储模型中假定的长期存储进行的。被试(N = 80)学习第一个A-B列表,达到部分学习或过度学习标准,然后对第二个列表进行六次试验。过度学习的被试仅表现出提取困难,而部分学习的被试在存储和提取方面都存在困难。研究结果被解释为与多存储记忆模型相反。建议用一个替代框架来解释该研究结果。

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