The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
The role of actively open-minded thinking in information acquisition, accuracy, and calibration
Open accessAbstract
Errors in estimating and forecasting often result from the failure to collect and consider enough relevant information. We examine whether attributes associated with persistence in information acquisition can predict performance in an estimation task. We focus on actively open-minded thinking (AOT), need for cognition, grit, and the tendency to maximize or satisfice when making decisions. In three studies, participants made estimates and predictions of uncertain quantities, with varying levels of control over the amount of information they could collect before estimating. Only AOT predicted performance. This relationship was mediated by information acquisition: AOT predicted the tendency to collect information, and information acquisition predicted performance. To the extent that available information is predictive of future outcomes, actively open-minded thinkers are more likely than others to make accurate forecasts.
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Cites
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Ideology, motivated reasoning, and cognitive reflection
Kahan, D. M. (2013) · Judgment and Decision Making · doi:10.1017/s1930297500005271 · Cited by 1,302
Pennycook, G., & Rand, D. G. (2020) · Journal of Personality · doi:10.1111/jopy.12476 · Cited by 879
Climate‐Science Communication and the Measurement Problem
Kahan, D. M. (2015) · Political Psychology · doi:10.1111/pops.12244 · Cited by 559
Ideology, Motivated Reasoning, and Cognitive Reflection: An Experimental Study
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Metadata
- Authors
- Haran, U., Ritov, I., & Mellers, B. A.
- Venue
- Judgment and Decision Making
- Publisher
- Cambridge University Press (CUP)
- Published
- 2013-05
- Volume
- 8
- Issue
- 3
- Pages
- 188-201
- ISSN
- 1930-2975 (ISSN-L)
- OpenAlex
- W1216568
- Cited by
- 328
- References
- 13
- FWCI
- 7.72
- Type
- journal article
- Language
- en
- Open access
- gold
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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.