Psychology research · Reference
What is the framing effect?
The framing effect is a cognitive bias in which people reach different decisions depending on how equivalent information is presented, such as whether an option is described in terms of gains or of losses.
Definition and origin
The framing effect shows that judgement depends not only on what the facts are but on how they are worded. Tversky and Kahneman demonstrated it most famously with the "Asian disease problem", in which participants chose between programmes to combat an outbreak. When the outcomes were framed in terms of lives saved (a gain frame), most people preferred the certain option; when the mathematically identical outcomes were framed in terms of lives lost (a loss frame), most preferred the risky one. The only thing that changed was the description, yet preferences reversed.
How it works
The effect is explained largely by prospect theory, which holds that people evaluate outcomes as gains or losses relative to a reference point and are risk-averse for gains but risk-seeking for losses. A gain frame therefore invites caution, while a loss frame invites risk-taking, even when the underlying odds are identical.
Framing also interacts with loss aversion, the finding that losses loom larger than equivalent gains. Because the reference point set by the wording determines what counts as a gain or a loss, small changes in phrasing can shift the whole evaluation.
Examples and research relevance
Framing pervades communication: a treatment described as having a "90% survival rate" is judged more favourably than the same treatment with a "10% mortality rate", and a product that is "95% fat-free" sounds better than one that is "5% fat". In research, the framing effect is a major reason questionnaire wording matters: the way a survey item presents options can steer responses, threatening the validity of the data. It is a key consideration in question design, risk communication, and the reporting of statistics.
Significance for methods
Awareness of framing informs neutral instrument design and honest reporting. Good practice includes presenting information in both gain and loss terms where feasible, avoiding leading or emotionally loaded phrasing, and testing whether results are robust to reasonable changes in wording. Because framing can shape conclusions without altering the facts, transparent reporting of exactly how options and statistics were presented is essential for reproducible, non-misleading research.
Key facts
At a glance
- Type: cognitive bias in decision-making
- Core tendency: wording of equivalent options changes choices
- Demonstrated by: Amos Tversky and Daniel Kahneman
- Classic study: the "Asian disease problem"
- Explained by: prospect theory and loss aversion
- Research risk: question wording can steer survey responses
Common questions
FAQ
What is an example of the framing effect?+
Describing a medical procedure as having a "90% survival rate" tends to attract more support than describing the same procedure as having a "10% mortality rate", even though the two statements are mathematically identical. Only the framing differs.
Who studied the framing effect?+
It was demonstrated by Amos Tversky and Daniel Kahneman, notably through the "Asian disease problem", and is explained within their prospect theory of how people evaluate risky gains and losses.
Why does the framing effect matter in surveys?+
Because the way a question presents its options can change how people answer, framing threatens the validity of survey data. Careful, neutral wording and testing the robustness of results to rephrasing help guard against this.
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