Response bias is a type of cognitive bias which can affect the results of a statistical survey if respondents answer questions in the way they think the questioner wants them to answer rather than according to their true beliefs. This may occur if the questioner is obviously angling for a particular answer (as in push polling) or if the respondent wishes to please the questioner by answering what appears to be the "morally right" answer. An example of the latter might be if a woman surveys a man on his attitudes to domestic violence, or someone who obviously cares about the environment asks people how much they value a wilderness area.
This occurs most often in the wording of the question. Response bias is present when a question contains a leading opinion. For example, saying "Given that at the age of 18 people are old enough to fight and die for your country, don't you think they should be able to drink alcohol as well?" may yield a response bias, in comparison with simply "Do you think 18-year-olds should be able to drink alcohol?" Or, "Should the killing of babies be legalized?" as opposed to, "Should abortion be legalized?"
It also occurs in situations of voluntary response, such as phone-in polls, where the people who care enough to call are not necessarily a statistically representative sample of the actual population.
Non-response bias is not the opposite of "response bias" and is not a type of cognitive bias: it occurs in a statistical survey if those who respond to the survey differ in the outcome variable (for example, evaluation of the need for financial aid) from those who do not respond. Often, the differences, which may include race, gender or socioeconomic status, are reported and/or accounted for through statistical modelling in any publication of the results.
Other articles related to "response bias, bias":
... (1967) outlined several problems with the Berkeley studies, including response bias ... Response bias results from the F scale being uniformly worded in a confirming direction ... have shown that more variance of the F scale can be explained by response bias than the content of the items (Kirscht Dillehay, 1967) ...
... Response bias occurs when women intentionally "underreport" their abortion history, meaning that they deny having an abortion or claim to have fewer ... Three major studies have been published examining abortion response bias ... Weed and Kramer focused on how Brind's meta-analysis dismissed bias as a factor ...
Famous quotes containing the words bias and/or response:
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“The reason can give nothing at all Like the response to desire.”
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