The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Perseverance of social theories: The role of explanation in the persistence of discredited information.
Abstract
The perseverance of social theories was examined in two experiments within a debriefing paradigm. Subjects were initially given two case studies suggestive of either a positive or a negative relationship between risk taking and success as a firefighter. Some subjects were asked to provide a written explanation of the relationship; others were not. In addition, experimental subjects were thoroughly debriefed concerning the fictitious nature of the initial case studies. Subsequent assessments of subjects ' personal beliefs about the relationship indicated that even when initially based on weak data, social theories can survive the total discrediting of that initial evidential base. Both correlational and experimental results suggested that such unwarranted theory perseverance may be mediated, in part, by the cognitive process of formulating causal scenarios or explanations. Normative issues and the cognitive processes underlying perseverance were examined in detail, and possible techniques for overcoming unwarranted theory perseverance were discussed. All of us have tried to change a friend's view about some social, political or scientific issue-from the efficacy of capital punishment as a deterrent to crime to the validity of the IQ test-only to experience frustrating failure. We offer seemingly compelling evidence or thoroughly rebut opposing arguments but produce little if any change in our friend's beliefs. Indeed, we suspect that we ourselves frequently may be guilty of similar intransigence when our views come under attack. From such everyday observations, two obvious questions arise that form the focus of the present article: Are we, in fact, prone to persist in our beliefs and theories about the world to a degree that is normatively indefensible, and if so, why?
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
Lord, C. G., Ross, L., & Lepper, M. R. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.11.2098 · Cited by 4,583
Self-citationThe processes of causal attribution.
Kelley, H. H. (1973) · American Psychologist · doi:10.1037/h0034225 · Cited by 4,025 · cited 1×
“Clearly, it is a central postulate of current attribution models that people often engage in informal causal analyses in attempting to make sense of their social worlds (Heider, 1958; Kelley, 1967, 1973).”
BackgroundRoss, L., Lepper, M. R., & Hubbard, M. (1975) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.32.5.880 · Cited by 1,052
Self-citationPerceived informativeness of facts.
Fischhoff, B. (1977) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.3.2.349 · Cited by 404
Cited by
Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.
Tversky, A., & Kahneman, D. (1983) · Psychological Review · doi:10.1037/0033-295x.90.4.293 · Cited by 3,991
Representativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
Misinformation and Its Correction: Continued Influence and Successful Debiasing
Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012) · Psychological Science in the Public Interest · doi:10.1177/1529100612451018 · Cited by 2,920
Slovic, P., Finucane, M., Peters, E., & MacGregor, D. G. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.025 · Cited by 2,349
“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298
Metadata
- Authors
- Anderson, C. A., Lepper, M. R., & Ross, L.
- Venue
- Journal of Personality and Social Psychology
- Published
- 1980-12
- Volume
- 39
- Issue
- 6
- Pages
- 1037-1049
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W2106268407
- Cited by
- 719
- References
- 4
- FWCI
- 37.91
- 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: Perseverance of social theories: The role of explanation in the persistence of discredited information. https://app.cochat.ai/papers/10.1037/h0077720
- The paper
- Anderson, C. A., Lepper, M. R., & Ross, L. (1980). Perseverance of social theories: The role of explanation in the persistence of discredited information. Journal of Personality and Social Psychology. https://doi.org/10.1037/h0077720
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.