A disconfirmation bias in the evaluation of arguments.
Abstract
Two experiments provided evidence for a disconfirmation bias in argument evaluation such that arguments incompatible with prior beliefs are scrutinized longer, subjected to more extensive refutational analyses, and consequently are judged to be weaker than arguments compatible with prior beliefs. The idea that people are unable to evaluate evidence independently of prior beliefs has been documented elsewhere, including in the classic study by C. G. Lord, L. Ross, and M. R. Lepper (1979). The present findings contribute to this literature by specifying the processes by which prior beliefs affect the evaluation of evidence. The authors compare the disconflrmation model to several other models of how prior beliefs influence current judgments and present data that provide support for the disconfirmation model. Results indicate that whether a person's prior belief is accompanied by emotional conviction affects the magnitude and form of the disconfirmation bias. When evaluating an argument, can one assess its strength independently of one's prior belief in the conclusion? A good deal of evidence indicates the answer is an emphatic no (e.g., Batson, 1975; Chapman & Chapman, 1959; Darley & Gross, 1983; Geller & Pitz, 1968; Nisbett & Ross, 1980; Sherif & Hovland, 1961). This phenomenon, which we refer to as the prior belief effect, has important implications. Given two people, or groups, with opposing beliefs about a social, political, or scientific issue, the degree to which they will view relevant evidence as strong will differ. This difference, in turn, may result in a failure of the opposing parties to converge on any kind of meaningful agreement, and, under some circumstances, they may become more extreme in their beliefs. Perhaps the most renowned study documenting the prior belief effect is one conducted by Lord, Ross, and Lepper (1979); this study served as the starting point for our work. Lord et al. were concerned with people's evaluations of arguments about
Cites (6)
- The case for motivated reasoning.Kunda, Ziva · 1990 · Psychological Bulletin
- The Elaboration Likelihood Model of PersuasionPetty, Richard E., Cacioppo, John T. · 1986 · Advances in Experimental Social Psychology
- Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidenceLord, Charles G., Ross, Lee, Lepper, Mark R. · 1979 · Journal of Personality and Social Psychology
- Individual differences in need for cognitive closure.Webster, Donna M., Kruglanski, Arie W. · 1994 · Journal of Personality and Social Psychology
- The totalitarian ego: Fabrication and revision of personal history.Greenwald, Anthony G. · 1980 · American Psychologist
- Publication prejudices: An experimental study of confirmatory bias in the peer review systemMahoney, Michael J. · 1977 · Cognitive Therapy and Research
Cited by (34)
- Motivated Skepticism in the Evaluation of Political BeliefsTaber, Charles S., Lodge, Milton · 2006 · American Journal of Political Science
- Representativeness revisited: Attribute substitution in intuitive judgment.Kahneman, Daniel, Frederick, Shane · 2002 · Heuristics and Biases
- When Corrections Fail: The Persistence of Political MisperceptionsNyhan, Brendan, Reifler, Jason · 2010 · Political Behavior
- The Affect HeuristicSlovic, Paul, Finucane, Melissa, Peters, Ellen, MacGregor, Donald G. · 2002 · Heuristics and Biases
- Why do humans reason? Arguments for an argumentative theoryMercier, Hugo, Sperber, Dan · 2011 · Behavioral and Brain Sciences
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: A disconfirmation bias in the evaluation of arguments. https://app.cochat.ai/papers/10.1037//0022-3514.71.1.5
- The paper
- Edwards, K., & Smith, E. E. (1996). A disconfirmation bias in the evaluation of arguments. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.71.1.5
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