The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Effect of Construal Level on Subjective Probability Estimates
Open accessAbstract
In a series of studies, we examined novel predictions drawn from a conceptualization of probability as psychological distance. Manipulating construal level in a number of different ways and examining a variety of probability judgments, we found that participants led to adopt a high-level-construal mind-set made lower probability assessments than did those led to adopt a low-level-construal mind-set. Moreover, this occurred even when construal level was manipulated in a context separate from the judgment task and the manipulation was unrelated in content to the events being judged. These findings suggest that broad processing variables can exert a widespread influence on probability judgment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Forest before trees: The precedence of global features in visual perception
Navon, D. (1977) · Cognitive Psychology · doi:10.1016/0010-0285(77)90012-3 · Cited by 4,005
Representativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
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
Trope, Y., Liberman, N., & Wakslak, C. (2007) · Journal of Consumer Psychology · doi:10.1016/s1057-7408(07)70013-x · Cited by 1,772
Self-citationThe 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
The impact of self-affirmation on health-behavior change: A meta-analysis
Epton, T., Harris, P. R., Kane, R., van Koningsbruggen, G. M., & Sheeran, P. (2015) · Health Psychology · doi:10.1037/hea0000116 · Cited by 277
Dysregulation in level of goal and action identification across psychological disorders
Watkins, E. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.05.004 · Cited by 141
Metadata
- Authors
- Wakslak, C., & Trope, Y.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2009-01
- Volume
- 20
- Issue
- 1
- Pages
- 52-58
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2123619764
- Cited by
- 281
- References
- 4
- FWCI
- 5.62
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
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.