The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Cognitive Processes and the Assessment of Subjective Probability Distributions
Abstract
This article considers the implications of recent research on judgmental processes for the assessment of subjective probability distributions. It is argued that since man is a selective, sequential information processing system with limited capacity, he is ill-suited for assessing probability distributions. Various studies attesting to man's difficulties in acting as an “intuitive statistician” are summarized in support of this contention. The importance of task characteristics on judgmental performance is also emphasized. A critical survey of the probability assessment literature is provided and organized around five topics: (1) the “meaningfulness” of probability assessments; (2) methods of eliciting distributions; (3) feedback and evaluation of assessors; (4) differential ability of groups of assessors and (5) the problems of eliciting a single distribution from a group of assessors. Conclusions from the analysis with respect to future work include the need to capitalize on cognitive simplification mechanisms; making assessors aware of both human limitations and the effects of task characteristics; and emphasizing feedback concerning the nature of the task at hand.
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Citations
Cites
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 magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Availability: A heuristic for judging frequency and probability
Tversky, A., & Kahneman, D. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90033-9 · Cited by 9,984
On the psychology of prediction.
Kahneman, D., & Tversky, A. (1973) · Psychological Review · doi:10.1037/h0034747 · Cited by 6,202
Belief in the law of small numbers.
Tversky, A., & Kahneman, D. (1971) · Psychological Bulletin · doi:10.1037/h0031322 · Cited by 3,246
Unit weighting schemes for decision making
Einhorn, H. J., & Hogarth, R. M. (1975) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(75)90044-6 · Cited by 673
Self-citationHuman problem solving: The state of the theory in 1970.
Simon, H. A., & Newell, A. (1971) · American Psychologist · doi:10.1037/h0030806 · Cited by 635
Scoring Rules and the Evaluation of Probability Assessors
Winkler, R. L. (1969) · Journal of the American Statistical Association · doi:10.1080/01621459.1969.10501037 · Cited by 271
Cue-Consistency and Cue-Utilization in Judgment
Slovic, P. (1966) · The American Journal of Psychology · doi:10.2307/1420883 · Cited by 163
Cited by
Confidence in judgment: persistence of the illusion of validity
Einhorn, H. J., & Hogarth, R. M. (1978) · Psychological Review · doi:10.1037/0033-295x.85.5.395 · Cited by 1,209
Self-citationScoring Rules for Continuous Probability Distributions
Matheson, J. E., & Winkler, R. L. (1976) · Management Science · doi:10.1287/mnsc.22.10.1087 · Cited by 957
Forecasting and Planning: An Evaluation
Hogarth, R. M., & Makridakis, S. (1981) · Management Science · doi:10.1287/mnsc.27.2.115 · Cited by 608
Self-citationBetting on trends: Intuitive forecasts of financial risk and return
De Bondt, W. P. M. (1993) · International Journal of Forecasting · doi:10.1016/0169-2070(93)90030-q · Cited by 586
Using Expectations Data to Study Subjective Income Expectations
Dominitz, J., & Manski, C. F. (1997) · Journal of the American Statistical Association · doi:10.1080/01621459.1997.10474041 · Cited by 398
Metadata
- Authors
- Hogarth, R. M.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1975-06
- Volume
- 70
- Issue
- 350
- Pages
- 271-289
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2076441302
- Cited by
- 479
- References
- 9
- FWCI
- 16.26
- 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).
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