The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Seeing the forest when entry is unlikely: Probability and the mental representation of events.
Open accessAbstract
Conceptualizing probability as psychological distance, the authors draw on construal level theory (Y. Trope & N. Liberman, 2003) to propose that decreasing an event's probability leads individuals to represent the event by its central, abstract, general features (high-level construal) rather than by its peripheral, concrete, specific features (low-level construal). Results indicated that when reported probabilities of events were low rather than high, participants were more broad (Study 1) and inclusive (Study 2) in their categorization of objects, increased their preference for general rather than specific activity descriptions (Study 3), segmented ongoing behavior into fewer units (Study 4), were more successful at abstracting visual information (Study 5), and were less successful at identifying details missing within a coherent visual whole (Study 6). Further, after exposure to low-probability as opposed to high-probability phrases, participants increasingly preferred to identify actions in ends-related rather than means-related terms (Study 7). Implications for probability assessment and choice under uncertainty are discussed.
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Citations
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A., & Kahneman, D. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122574 · Cited by 15,467
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 · cited 2×
“…research has investigated the way in which probabilities are inferred, suggesting that heuristics and biases systematically lead to nonnormative probability estimates (e.g., Fischhoff, 1975; Kahneman & Miller, 1986; Lichtenstein, Slovic, Fischhoff, Layman, & Combs, 1978; Tversky & Kahneman, 1973).”
BackgroundA Discounting Framework for Choice With Delayed and Probabilistic Rewards.
Green, L., & Myerson, J. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.5.769 · Cited by 1,676
SUBJECTIVE PROBABILITY AND DELAY
Rachlin, H., Raineri, A., & Cross, D. (1991) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1991.55-233 · Cited by 1,341
Support theory: a nonextensional representation of subjective probability
Tversky, A., & Koehler, D. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.547 · Cited by 1,167
Cited by
Construal-level theory of psychological distance.
Trope, Y., & Liberman, N. (2010) · Psychological Review · doi:10.1037/a0018963 · Cited by 6,618
Self-citationConstructive and unconstructive repetitive thought
Watkins, E. R. (2008) · Psychological Bulletin · doi:10.1037/0033-2909.134.2.163 · Cited by 2,421
Trope, Y., Liberman, N., & Wakslak, C. (2007) · Journal of Consumer Psychology · doi:10.1016/s1057-7408(07)70013-x · Cited by 1,772
Self-citationFan, X., Jiang, X., & Deng, N. (2022) · Tourism Management · doi:10.1016/j.tourman.2022.104534 · Cited by 586
The Future is Now: Reducing Psychological Distance to Increase Public Engagement with Climate Change
Jones, C., Hine, D. W., & Marks, A. D. G. (2017) · Risk Analysis · doi:10.1111/risa.12601 · Cited by 507
Metadata
- Authors
- Wakslak, C. J., Trope, Y., Liberman, N., & Alony, R.
- Venue
- Journal of Experimental Psychology: General
- Published
- 2006
- Volume
- 135
- Issue
- 4
- Pages
- 641-653
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- OpenAlex
- W3125469407
- Cited by
- 467
- References
- 6
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- green
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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.