Biased survey questions are worded or structured in ways that influence respondents toward a particular answer, such as through leading language, emotionally loaded terms, unsupported assumptions, double questions, or unbalanced answer choices. The learner distinguishes such questions from neutral questions and understands that wording bias can systematically distort collected data and the conclusions drawn from it, separate from ordinary variation in individual responses.
A survey question is biased if its wording pushes people toward a certain answer instead of allowing them to respond freely. Bias can come from:
Worked example
A school survey asks:
“Don’t you agree that our wonderful new recycling program should be expanded?”
Answer choices: Yes or No
Step 1: Look for leading language.
The words “Don’t you agree” pressure people to say yes. They make agreeing seem like the expected answer.
Step 2: Look for loaded words.
The word “wonderful” gives a positive opinion about the recycling program. The question is not describing the program neutrally.
Step 3: Check for an assumption.
The question assumes that the program is wonderful and should be expanded before asking what people think.
Step 4: Check the answer choices.
The choices “Yes” and “No” are balanced, but they do not let people show how strongly they feel or choose “Not sure.” The main bias comes from the wording.
Step 5: Decide.
This is a biased question because it encourages people to answer yes. The results might make the program seem more popular than it really is.
A more neutral version would be:
“What is your opinion about expanding the school’s recycling program?”
Possible answer choices:
The neutral version removes the pressure and positive description, so respondents can give a more accurate answer.
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