The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
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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Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Prospect theory: An analysis of decision under risk
Kahneman, D., & Tversky, A. (1988) · Decision, Probability and Utility · doi:10.1017/cbo9780511609220.014 · Cited by 32,474
(1980) · Medical Entomology and Zoology · Cited by 25,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
In a Different Voice: Psychological Theory and Women's Development.
Johnson, M. M., & Gilligan, C. (1983) · Contemporary Sociology · doi:10.2307/2067520 · Cited by 11,111
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Cognitive Reflection and Decision Making
Frederick, S. (2005) · Journal of Economic Perspectives · doi:10.1257/089533005775196732 · Cited by 5,256
Data collection in a flat world: the strengths and weaknesses of Mechanical Turk samples
Goodman, J. K., Cryder, C. E., & Cheema, A. (2013) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1753 · Cited by 2,242
Are Risk Aversion and Impatience Related to Cognitive Ability?
Dohmen, T., Falk, A., Huffman, D., & Sunde, U. (2010) · American Economic Review · doi:10.1257/aer.100.3.1238 · Cited by 1,332
Reyna, V. F., & Farley, F. (2006) · Psychological Science in the Public Interest · doi:10.1111/j.1529-1006.2006.00026.x · Cited by 1,244
The Cognitive Reflection Test as a predictor of performance on heuristics-and-biases tasks
Toplak, M. E., West, R. F., & Stanovich, K. E. (2011) · Memory & Cognition · doi:10.3758/s13421-011-0104-1 · Cited by 1,047
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
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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.
