Awareness of implicit attitudes: Large-scale investigations of mechanism and scope.

反省 借记 集合(抽象数据类型) 内隐联想测验 推论 差异(会计) 心理学 心理信息 含蓄的态度 机制(生物学) 比例(比率) 社会心理学 认知心理学 范围(计算机科学) 因果推理 计算机科学 认识论 人工智能 计量经济学 哲学 物理 会计 梅德林 量子力学 政治学 经济 法学 业务 程序设计语言
作者
Adam Morris,Benedek Kurdi
出处
期刊:Journal of Experimental Psychology: General 卷期号:152 (12): 3311-3343 被引量:14
标识
DOI:10.1037/xge0001464
摘要

People can predict their scores on the Implicit Association Test with remarkable accuracy, challenging the traditional notion that implicit attitudes are inaccessible to introspection and suggesting that people might be aware of these attitudes. Yet, major open questions about the mechanism and scope of these predictions remain, making their implications unclear. Notably, people may be inferring their attitudes from externally observable cues (e.g., in the simplest case, their demographic information) rather than accessing them directly. This problem is exacerbated by the fact that, in past work, predictions have been obtained only for a small set of targets, attitudes toward which are demonstrably possible to infer. Here, in an adversarial collaboration with eight preregistered studies (N = 8,011), we interrogate implicit attitude awareness using more stringent tests. We demonstrate that people can predict their implicit attitudes (a) across a broad range of targets (many of which are plausibly difficult to infer without introspection), (b) far more accurately than third-party observers can based on demographic information, and (c) with similar accuracy across two different widely used implicit measures. On the other hand, predictive accuracy (a) varied widely across individuals and attitude targets and (b) was partially explained by inference over nonintrospective cues such as demographic variables and explicit attitudes; moreover, (c) explicit attitudes explained considerably larger portions of variance in predictions than implicit attitudes did. Taken together, these findings suggest that successful predictions of one's implicit attitudes may emerge from multiple mechanisms, including inference over nonintrospective cues and genuine introspective access. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
王海洋完成签到,获得积分10
刚刚
刚刚
1秒前
1秒前
2秒前
超级的妙旋完成签到,获得积分10
2秒前
打打应助einspringen采纳,获得10
2秒前
焦茶发布了新的文献求助10
2秒前
yeguxing33发布了新的文献求助10
2秒前
顺利的绿真完成签到,获得积分10
3秒前
3秒前
现实的秋凌完成签到,获得积分10
3秒前
Hello应助阳子采纳,获得10
3秒前
光亮的代云完成签到,获得积分20
4秒前
非活跃给乙方完成签到,获得积分10
4秒前
清见的心发布了新的文献求助10
4秒前
4秒前
4秒前
5秒前
酷波er应助李nb采纳,获得10
5秒前
科研通AI6.3应助jxm采纳,获得10
5秒前
5秒前
哭泣的雅山完成签到,获得积分20
6秒前
6秒前
6秒前
自信夏寒完成签到,获得积分10
7秒前
7秒前
7秒前
自觉世界完成签到,获得积分10
8秒前
夏夏发布了新的文献求助10
9秒前
hu发布了新的文献求助10
9秒前
9秒前
CipherSage应助木子采纳,获得10
9秒前
9秒前
李爱国应助1111采纳,获得10
10秒前
陈嘉木完成签到,获得积分10
10秒前
10秒前
ding发布了新的文献求助10
10秒前
大力的听芹完成签到,获得积分10
11秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6391493
求助须知:如何正确求助?哪些是违规求助? 8206614
关于积分的说明 17370872
捐赠科研通 5445179
什么是DOI,文献DOI怎么找? 2878794
邀请新用户注册赠送积分活动 1855309
关于科研通互助平台的介绍 1698510