I’ve mentioned before that information on human rights depends heavily on opinion surveys. Unfortunately, surveys can be wrong and misleading for so many different reasons that we have to be very careful when designing surveys and when using and interpreting survey data. One reason I haven’t mentioned before is the framing of the questions.
Even very small differences in framing can produce widely divergent answers. And there is a wide variety of problems linked to the framing of questions:
- Questions can be leading questions, questions that suggests the answer. For example: “It’s wrong to discriminate against people of another race, isn’t it?” Or: “Don’t you agree that discrimination is wrong?”
- Questions can be put in such a way that they put pressure on people to give a certain answer. For example: “Most reasonable people think racism is wrong. Are you one of them?” This is also a leading question of course, but it’s more than simply “leading”.
- Questions can be confusing or easily misinterpreted. Such questions often include a negative, or, worse, a double negative. For example: “Do you agree that it isn’t wrong to discriminate under no circumstances?” Needless to say that your survey results will be infected by answers that are the opposite of what they should have been.
- Questions can be wordy. For example: “What do you think about discrimination (a term that refers to treatment taken toward or against a person of a certain group that is based on class or category rather than individual merit) as a type of behavior that promotes a certain group at the expense of another?” This is obviously a subtype of the confusing-variety.
- Questions can also be confusing because they use jargon, abbreviations or difficult terms. For example: “Do you believe that UNESCO and ECOSOC should administer peer-to-peer expertise regarding discrimination in an ad hoc or a systemic way?”
- Questions can in fact be double or even triple questions, but there is only one answer required and allowed. Hence people who may have opposing answers to the two or three sub-questions will find it difficult to provide a clear answer. For example: “Do you agree that racism is a problem and that the government should do something about it?”
- Open questions should be avoided in a survey. For example: “What do you think about discrimination?” Such questions do not yield answers that can be quantified and aggregated.
- You also shouldn’t ask questions that exclude some possible answers, and neither should you provide a multiple-choice set of answers that doesn’t include some possible answers. For example: “How much did the government improve its anti-discrimination efforts relative to last year? Somewhat? Average? A lot?” Notice that such a framing of the question doesn’t allow people to respond that the effort had not improved or had worsened. Another example: failure to include “don’t know” as a possible answer.
Here’s a real-life example:
In one of the most infamous examples of flawed polling, a 1992 poll conducted by the Roper organization for the American Jewish Committee found that 1 in 5 Americans doubted that the Holocaust occurred. How could 22 percent of Americans report being Holocaust deniers? The answer became clear when the original question was re-examined: “Does it seem possible or does it seem impossible to you that the Nazi extermination of the Jews never happened?” This awkwardly-phrased question contains a confusing double-negative which led many to report the opposite of what they believed. Embarrassed Roper officials apologized, and later polls, asking clear, unambiguous questions, found that only about 2 percent of Americans doubt the Holocaust. (source)