The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Risk preference shares the psychometric structure of major psychological traits
Open accessAbstract
On the basis of 39 risk-taking measures, this study finds evidence for a general and stable factor of risk preference.
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Citations
Cites
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The proof and measurement of association between two things
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412159 · Cited by 8,039
A gradient of childhood self-control predicts health, wealth, and public safety
Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., Houts, R., Poulton, R., Roberts, B. W., Ross, S., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010076108 · Cited by 4,885
Gender differences in risk taking: a meta-analysis
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BackgroundThe Rediscovery of Bifactor Measurement Models
Reise, S. P. (2012) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.715555 · Cited by 2,112 · cited 1×
“Latent variable modeling To test the hypothesis of a general risk-preference factor,we implemented a psychometric bifactor model, which has a long tradition in research on intelligence (84) and has recently been rediscovered as an effective method to model construct-relevant multidimensionality (27, 85, 86).”
Method
Cited by
Dessart, F. J., Barreiro-Hurlé, J., & van Bavel, R. (2019) · European Review of Agricultural Economics · doi:10.1093/erae/jbz019 · Cited by 1,050
23and Me Research Team, Karlsson Linnér, R., eQTLgen Consortium, International Cannabis Consortium, Social Science Genetic Association Consortium, Biroli, P., Kong, E., Meddens, S. F. W., Wedow, R., Fontana, M. A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0309-3 · Cited by 756
Personality and prosocial behavior: A theoretical framework and meta-analysis.
Thielmann, I., Spadaro, G., & Balliet, D. (2020) · Psychological Bulletin · doi:10.1037/bul0000217 · Cited by 689
Why Are Self-Report and Behavioral Measures Weakly Correlated?
Dang, J., King, K. M., & Inzlicht, M. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.01.007 · Cited by 634
Why Hypothesis Testers Should Spend Less Time Testing Hypotheses
Scheel, A. M., Tiokhin, L., Isager, P. M., & Lakens, D. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620966795 · Cited by 382
“For example, researchers might assume that different measures are equivalent (e.g., using stated preferences vs. behavioral tasks to measure risk preference; Frey et al., 2017) without realizing that they capture different constructs.”
Background
Metadata
- Authors
- Frey, R., Pedroni, A., Mata, R., Rieskamp, J., & Hertwig, R.
- Venue
- Science Advances
- Published
- 2017-10-06
- Volume
- 3
- Issue
- 10
- Pages
- e1701381-e1701381
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W2761002469
- Cited by
- 526
- References
- 18
- FWCI
- 31.66
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Risk preference shares the psychometric structure of major psychological traits. https://app.cochat.ai/papers/10.1126/sciadv.1701381
- The paper
- Frey, R., Pedroni, A., Mata, R., Rieskamp, J., & Hertwig, R. (2017). Risk preference shares the psychometric structure of major psychological traits. Science Advances. https://doi.org/10.1126/sciadv.1701381
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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.
