4 ms·
> Honesty of participants for sensitive topics like sexual behavior and drug use that could have serious consequences for them. One way to help get around that
by jpeloquin 5y ago
> Honesty of participants for sensitive topics like sexual behavior and drug use that could have serious consequences for them.
One way to help get around that is to ask the respondents to flip a coin—heads they answer truthfully, tails they answer falsely. This gives the respondents plausible deniability and the true underlying rates can still be estimated statistically from the raw results.
- jonas21 5y agoI don't understand. Either you record the result of the coin flip, in which case you can easily determine each participant's actual answer -- or you don't, in which case the data collected is useless. An easy way to see this is if you suppose there's a question for which the truthful answer is "Yes" for 100% of participants. After the coin flip, you will get 50% "Yes" and 50% "No", which is the exact same result you would get if the truthful answer were "No" for 100% of participants.
- jpeloquin 5y agoHere's where I saw it. And yes, I admit sloppiness with my word choice. "Differently from the usual Direct Response technique, in RR, respondents toss coins to determine whether they will respond to the question or just mark “yes”. This still allows admission rates to be calculated, yet it guarantees full anonymity to respondents because no one can tell whether an individual respondent answered “yes” to the question or because of chance." https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685008/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685008/ https://en.wikipedia.org/wiki/Randomized_response https://en.wikipedia.org/wiki/Randomized_response
- LorenPechtel 5y agoIt wouldn't be useful in a case like that. However, if heads answer yes, tails answer truthfully "Have you ever raped a woman"? You get 52% saying yes, you can conclude that 2% actually did so. You need a considerably larger sample size for the same accuracy of data, though.