Suppr超能文献

一种针对“内隐”与“外显”评价的元认知方法:对高夫龙斯基和博登豪森(2006年)的评论

A metacognitive approach to "implicit" and "explicit" evaluations: comment on Gawronski and Bodenhausen (2006).

作者信息

Petty Richard E, Briñol Pablo

机构信息

Department of Psychology, Ohio State University.

Department of Social Psychology and Methodology, Universidad Autonoma de Madrid.

出版信息

Psychol Bull. 2006 Sep;132(5):740-744. doi: 10.1037/0033-2909.132.5.740.

Abstract

A metacognitive model (MCM) is presented to describe how automatic (implicit) and deliberative (explicit) measures of attitudes respond to change attempts. The model assumes that contemporary implicit measures tap quick evaluative associations, whereas explicit measures also consider the perceived validity of these associations (and other factors). Change in explicit measures is greater than implicit measures when new evaluative associations are formed and old associations are rejected. Implicit measure change is greater than explicit when newly formed evaluative associations are rejected. When implicit and explicit evaluations conflict, implicit ambivalence can occur. The authors relate the MCM to the associative-propositional evaluation model and explain how the MCM builds on the attitude strength assumptions of the elaboration likelihood model of persuasion.

摘要

本文提出了一种元认知模型(MCM),以描述态度的自动(内隐)和审慎(外显)测量如何应对改变尝试。该模型假定,当代内隐测量挖掘的是快速的评价性联想,而外显测量还会考虑这些联想(以及其他因素)的感知有效性。当形成新的评价性联想并摒弃旧联想时,外显测量的变化大于内隐测量。当新形成的评价性联想被摒弃时,内隐测量的变化大于外显测量。当内隐和外显评价发生冲突时,可能会出现内隐矛盾情绪。作者将MCM与联想-命题评价模型联系起来,并解释了MCM如何基于说服的精细可能性模型的态度强度假设构建而成。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验