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The do re mi's of everyday life: The structure and personality correlates of music preferences.
Abstract
The present research examined individual differences in music preferences. A series of 6 studies investigated lay beliefs about music, the structure underlying music preferences, and the links between music preferences and personality. The data indicated that people consider music an important aspect of their lives and listening to music an activity they engaged in frequently. Using multiple samples, methods, and geographic regions, analyses of the music preferences of over 3,500 individuals converged to reveal 4 music-preference dimensions: Reflective and Complex, Intense and Rebellious, Upbeat and Conventional, and Energetic and Rhythmic. Preferences for these music dimensions were related to a wide array of personality dimensions (e.g., Openness), self-views (e.g., political orientation), and cognitive abilities (e.g., verbal IQ).
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A very brief measure of the Big-Five personality domains
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Self-citationPrivate traits and attributes are predictable from digital records of human behavior
Kosinski, M., Stillwell, D., & Graepel, T. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1218772110 · Cited by 2,829
Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning
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Belk, R. W. (2013) · Journal of Consumer Research · doi:10.1086/671052 · Cited by 1,698
Metadata
- Authors
- Rentfrow, P. J., & Gosling, S. D.
- Venue
- Journal of Personality and Social Psychology
- Published
- 2003
- Volume
- 84
- Issue
- 6
- Pages
- 1236-1256
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W2111621157
- Cited by
- 1,567
- References
- 10
- FWCI
- 11.85
- 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.
