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Decision‐making competence: External validation through an individual‐differences approach
Abstract
This study asks to what extent (a) individuals show consistent performance differences across typical behavioral decision‐making tasks, and (b) how those differences correlate with plausible real‐world correlates of good decision making. Seven tasks, chosen to span the domain of decision‐making skills, were administered to participants in an ongoing longitudinal study providing extensive social, psychological, and behavioral measures. Performance scores on individual tasks generally showed small, positive inter‐task correlations. An aggregate measure of decision‐making competence (DMC) was appropriately correlated with plausible sources, concomitants, and outcomes of good decision making, suggesting the underlying construct's external validity. Higher DMC scores were associated with more intact social environments, more constructive cognitive styles, and fewer ‘maladaptive’ risk behaviors. In each case, DMC adds to the predictive validity of general measures of cognitive ability. These results suggest that poor decision making on common laboratory tasks is related to real‐world antecedents and consequences of poor decision making. Copyright © 2005 John Wiley & Sons, Ltd.
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Metadata
- Authors
- Parker, A. M., & Fischhoff, B.
- Venue
- Journal of Behavioral Decision Making
- Publisher
- Wiley
- Published
- 2005-01
- Volume
- 18
- Issue
- 1
- Pages
- 1-27
- ISSN
- 0894-3257 (ISSN-L)
- 1099-0771
- OpenAlex
- W1987622720
- Cited by
- 437
- References
- 132
- FWCI
- 10.64
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
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.