The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis
Abstract
An asymmetrically dominated alternative is dominated by one item in the set but not by another. Adding such an alternative to a choice set can increase the probability of choosing the item that dominates it. This result points to the inadequacy of many current choice models and suggests product line strategies that might not otherwise be intuitively plausible.
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
Elimination by aspects: A theory of choice
Tversky, A. (1972) · Psychological Review · doi:10.1037/h0032955 · Cited by 3,365
Cited by
Dimensions of Consumer Expertise
Alba, J. W., & Hutchinson, J. W. (1987) · Journal of Consumer Research · doi:10.1086/209080 · Cited by 4,375
Adaptive strategy selection in decision making.
Payne, J. W., Bettman, J. R., & Johnson, E. J. (1988) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.14.3.534 · Cited by 1,955
Self-citationShafir, E. (1993) · Cognition · doi:10.1016/0010-0277(93)90034-s · Cited by 1,453
Choice under Conflict: The Dynamics of Deferred Decision
Tversky, A., & Shafir, E. (1992) · Psychological Science · doi:10.1111/j.1467-9280.1992.tb00047.x · Cited by 1,013
Choice overload: A conceptual review and meta-analysis
Chernev, A., Böckenholt, U., & Goodman, J. (2015) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.08.002 · Cited by 858
Metadata
- Authors
- Huber, J., Payne, J. W., & Puto, C.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1982-06
- Volume
- 9
- Issue
- 1
- Pages
- 90
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2117503214
- Cited by
- 1,943
- References
- 1
- FWCI
- 1.83
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis. https://app.cochat.ai/papers/10.1086/208899
- The paper
- Huber, J., Payne, J. W., & Puto, C. (1982). Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis. Journal of Consumer Research. https://doi.org/10.1086/208899
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.
