Related Experiment Video
Updated: Mar 22, 2026

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
Published on: February 29, 2012
Hypothetical Bias in the SG and TTO
Aurélien Baillon1, Han Bleichrodt2, Georg D Granic3
1Emlyon business school, CNRS, Université Lumière Lyon 2, Université Jean Monnet Saint-Etienne, GATE, Lyon, France.
None:
BackgroundHealth state utility measurements are central in health policy and medical decision making. Common methods are the standard gamble (SG) and the time tradeoff (TTO). They typically use hypothetical questions. It is unknown whether this leads to a bias.MethodsWe used the Bayesian truth serum (BTS) to incentivize choices in the SG and the TTO. We asked these choices both with and without incentives in 2 online experiments: 1 with 498 Dutch students and 1 with 1,298 members of the US general population. To give incentives their maximal possibility to work, we deliberately introduced default bias in the US sample.ResultsIncentives made no difference. Individual choices and aggregate valuations in the SG and the TTO were the same with and without incentives in both experiments. Defaults affected the TTO, but not the SG.LimitationsThe BTS assumes that respondents have a common prior and use Bayesian updating. Moreover, it is hard to explain why answering truthfully is in respondents' best interests in the BTS.Conclusions and ImplicationsIncentives did not affect the SG and TTO. Our results support the current practice of using hypothetical questions in health state utility measurement.HighlightsWe found no evidence of hypothetical bias in the choices made in the SG and TTO measurements.This was true even when we introduced a default bias.The common practice to use hypothetical questions in health state utility measurement seems valid.
Related Concept Videos
Unrealistic Optimism Bias
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Design Example: Vintage Mixing Console
The specifications for the pre-amplifier were clear. It needed to amplify the audio signal by a factor of 10, have an input impedance above 10...
Hypothesis: Accept or Fail to Reject?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null...
Expected Frequencies in Goodness-of-Fit Tests
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...

