Survey response effects


Survey response effects are variations in survey responses that result from seemingly inconsequential aspects of survey design and administration. Susceptibility to these effects varies depending on the stability of one's beliefs. Those without a strong attitude on an issue, for instance, would more be more prone to survey response effects than those strongly for or against the issue. These effects can be broadly grouped as consistency or contrast effects. Consistency effects are effects that lead to survey responses that agree, not to be confused with the identically-named term used to refer to the phenomenon in which respondents intentionally try to get their survey responses to agree one another. Contrast effects on the other hand, lead to opposing responses.

Common survey response effects

In general, people answer survey questions with remarkable inconsistency, that is their responses are unstable. Response instability is when people are asked the same questions in repeated surveys and respond with conflicting answers. To explain this instability,
John Zaller and Stanley Feldman argue that how people respond to surveys depends on which schemas, or considerations, are most readily available in the mind. They claim that an attitude about a given issue, at a given time, is a reflection of an average of the considerations in the mind at that time. To apply a metaphor, attitude is climate; considerations are weather features. And since the pool of considerations in one's mind is constantly changing, attitudes are largely unstable over time. Due to this instability, survey response effects can significantly influence the outcome of surveys and should be considered when using surveys to inform policy making.

Contradictory theories of survey response instability

Philip Converse has attributed survey response instability to respondents lacking meaningful beliefs, while others have chalked it up to measurement errors and vague language in surveys.