The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
Positive emotion dispositions differentially associated with Big Five personality and attachment style
Abstract
Although theorists have proposed the existence of multiple distinct varieties of positive emotion, dispositional positive affect is typically treated as a unidimensional variable in personality research. We present data elaborating conceptual and empirical differences among seven positive emotion dispositions in their relationships with two core personality constructs, the “Big Five” and adult attachment style. We found that the positive emotion dispositions were differentially associated with self- and peer-rated Extraversion, Conscientiousness, Agreeableness, Openness to Experience, and Neuroticism. We also found that different adult attachment styles were associated with different kinds of emotional rewards. Findings support the theoretical utility of differentiating among several dispositional positive emotion constructs in personality research.
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Compassion: an evolutionary analysis and empirical review
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Self-citationHaving less, giving more: The influence of social class on prosocial behavior.
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Self-citationSocial class, solipsism, and contextualism: How the rich are different from the poor.
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Self-citationAwe, the small self, and prosocial behavior
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Self-citationThe nature of awe: elicitors, appraisals, and effects on self-concept
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Metadata
- Authors
- Shiota, M. N., Keltner, D., & John, O. P.
- Venue
- The Journal of Positive Psychology
- Publisher
- Informa UK Limited
- Published
- 2006-04
- Volume
- 1
- Issue
- 2
- Pages
- 61-71
- ISSN
- 1743-9760 (ISSN-L)
- 1743-9779
- OpenAlex
- W2065872378
- Cited by
- 910
- References
- 90
- FWCI
- 7.54
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
