Can unconscious thought detect relational similarities?. (28th November 2018)
- Record Type:
- Journal Article
- Title:
- Can unconscious thought detect relational similarities?. (28th November 2018)
- Main Title:
- Can unconscious thought detect relational similarities?
- Authors:
- Li, Jiansheng
Li, Xueyun
Zhang, Xiaoqin
Shi, Kai
He, Yuhan - Abstract:
- Abstract : One of the core principles of unconscious thought theory is the bottom‐up‐versus‐top‐down principle. However, previous studies on bottom‐up‐versus‐top‐down processes focused mainly on surface similarities, and there is a lack of studies based on relational similarity. Therefore, the present study intended to examine whether unconscious thought is capable of detecting relational similarities. In two experiments, the participants were presented with three stories. One of the test stories shared surface similarity with the base story, while the other shared relational similarity with it. The results indicated that the unconscious thought group was more likely to select the story with relational similarity, while the conscious thought and immediate decision groups were more likely to select the story with surface similarity. These findings suggest that unconscious thought can detect relational similarities, thus supporting the bottom‐up‐versus‐top‐down principle.
- Is Part Of:
- International journal of psychology. Volume 55:Number 1(2020)
- Journal:
- International journal of psychology
- Issue:
- Volume 55:Number 1(2020)
- Issue Display:
- Volume 55, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 55
- Issue:
- 1
- Issue Sort Value:
- 2020-0055-0001-0000
- Page Start:
- 60
- Page End:
- 66
- Publication Date:
- 2018-11-28
- Subjects:
- Unconscious thought -- Analogy -- Surface similarity -- Relational similarity -- Bottom‐up processing
Psychology -- Periodicals
Psychologie -- Périodiques
150.5 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1464-066X ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ijop.12550 ↗
- Languages:
- English
- ISSNs:
- 0020-7594
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.506000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12556.xml