Response Biases
Two studies tested whether reported cross-cultural differences in overconfidence merely reflected different uses of probability scales. Selling prices for bets and judgments made under proper scoring incentives did not support that explanation.
THE IDEA
Response Biases
Cultures sometimes differ in how they tend to use response scales (e.g., Pope, 1991; Zax & Takahashi, 1967). This suggests that cross-cultural variations in overconfidence might be simply another demonstration of differences in response biases. Here, the proposition would be that Asians, relative to Westerners, are more inclined to report probability judgments that are more extreme than they really feel are warranted. Yates, Lee, and Bush (1997) tested the response bias hypothesis using an approach that extended and refined one used by Fischhoff, Slovic, and Lichtenstein (1977). They had American and Chinese respondents state selling prices for real bets that paid respondents $2.20 (or its equivalent in Taiwan) if their answers to general-knowledge questions were right and no payment if their answers were wrong. Respondents’ prices did indeed agree with the overconfident probability judgments they had stated for those answers, providing evidence against the response bias proposition.
Proper scoring rules are procedures for compensating people for the accuracy of their probability judgments (cf. Yates, 1990, Chap. 8). The more closely a person’s judgments correspond to the events that actually occur, the better the score; the better the score, the more money, for instance, that an evaluator awards to the person. What makes a scoring rule “proper” is that, given certain reasonable assumptions, it is in the person’s material interests to be candid in reporting what his or her true judgments really are. Put another way, reporting judgments that differ from true judgments leads to the expectation of worse compensation. Yates, Lee, Shinotsuka, and Sieck (2000) used a proper scoring rule to provide another test of the response bias proposal. They promised their Chinese, Japanese, and American respondents financial bonuses for the accuracy of their general-knowledge probability judgments, bonuses tied to a proper scoring rule whose properness had been explained to the respondents. Yates et al. observed the same pattern of cross-cultural variations in overconfidence as had been seen previously. Thus, once again, there was no support for the hypothesis that such variations are due to response biases.
These studies did not support the hypothesis that the observed cross-cultural differences were merely differences in reporting style. They leave the underlying differences in judgment to be explained.
When to use it
Interpreting cross-cultural survey results on confidence or satisfaction.
Designing experiments to control for response biases.
Evaluating self-assessments in multinational teams.
FROM THEORY TO EVERYDAY LIFE
In practice
Study Using Selling Prices
Yates, Lee, and Bush (1997) asked American and Chinese participants to state selling prices for bets tied to general knowledge. The prices matched their overconfident probability judgments, providing evidence against the response bias explanation for cross-cultural overconfidence differences.
Study Using Proper Scoring Rules
Yates, Lee, Shinotsuka, and Sieck (2000) used a proper scoring rule to incentivize accurate probability judgments from Chinese, Japanese, and American participants. Despite the incentive to be honest, the same pattern of cross-cultural overconfidence emerged, further contradicting the response bias hypothesis.
A MOMENT TO REFLECT
Put it to work.
How might response biases affect your own probability judgments in everyday decisions?
Can you think of a situation where a response bias might lead to inaccurate reporting of confidence?
What are the implications of these findings for interpreting cross-cultural survey data?
References
- Unknown — Pope (1991)
CONTINUE THE CONVERSATION
Source texts
- Heuristics and Biases The Psychology of Intuitive Judgment (Thomas Gilovich, Dale Griffin, Daniel Kahneman)