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Your Own Bad Questions. Write your own examples of bad sample survey questions. a. Write a biased question designed to get one answer rather than another. b. Write the "same question" in two different ways to get different responses. c. Write a question to which many people may not give truthful answers.

Short Answer

Expert verified
Biased and poorly phrased questions lead to unreliable survey results.

Step by step solution

01

Crafting a Biased Question

To create a biased question, think of wording that leads respondents toward a particular response. For example: 'Don't you agree that the new park will significantly improve our community?' This question is biased because it uses 'don't you agree,' leading the respondent towards a positive response.
02

Rephrasing for Different Responses

Choose a question topic, then rephrase the same question in two ways to illustrate how wording can elicit different responses. For example: 1) 'How satisfied are you with the trash collection services in your neighborhood?' versus 2) 'How dissatisfied are you with the trash collection services in your neighborhood?' The choice of 'satisfied' vs. 'dissatisfied' suggests positive or negative responses respectively.
03

Creating a Sensitive Question

Think of a question topic that may be sensitive or embarrassing, which could lead people to hide their true opinions or experiences. For example: 'Do you always follow speed limits when driving?' Many might answer 'yes' due to social desirability bias, even if it's not true.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Biased Survey Questions
Biased survey questions are those that steer respondents towards a particular answer. This is usually done by using language that implies an expected answer or makes one option seem more favorable than others. For example, asking "Isn't it true that exercise is beneficial for everyone?" assumes the respondent agrees with the statement.
To identify biased questions, look for phrases that:
  • Encourage agreement or disagreement (e.g., "don't you think").
  • Contain emotionally charged or leading words.
  • Create assumptions about a topic that may not be universally true.
The goal is to craft neutral questions that do not skew the responses, allowing you to get a more accurate reflection of true sentiments. Ensuring neutrality in your questions increases the reliability and validity of your data.
Question Phrasing
How you phrase a question can drastically affect the answers you get. Two questions may seem similar but using different wording can influence how respondents perceive and answer them.
Consider the difference between asking, "How satisfied are you with our service?" and "What complaints do you have about our service?" The first question assumes satisfaction, nudging them to think positively, while the second assumes there might be issues.
When writing questions, keep these tips in mind:
  • Avoid using words with strong emotional connotations.
  • Ensure clarity to avoid misunderstandings.
  • Keep questions neutral to reduce bias.
Proper question phrasing is essential to obtain accurate data that truly represents the population's views or experiences.
Sensitive Survey Questions
Sensitive survey questions relate to topics that respondents may find difficult or embarrassing to answer truthfully. These can include queries about behavior, beliefs, or personal experiences that might not align with societal norms.
Suppose you ask, "Have you ever cheated on a test?" Responses might be skewed by shame or fear of judgment, leading to dishonest answers.
One way to address this is by reassuring anonymity and confidentiality to encourage honesty. Providing a range of allowed responses and clarifying that you respect diverse experiences can help reduce discomfort. This approach fosters an environment where respondents feel safe to express the truth.
Social Desirability Bias
Social desirability bias occurs when respondents answer questions in a way that they believe will be viewed favorably by others. This can distort survey results, making it look like more people conform to social norms than actually do.
An example is asking, "Do you always volunteer at local charities?" where respondents may answer "yes" to align with a positive social image, even if they don’t volunteer as often as they claim.
To minimize this bias:
  • Emphasize privacy and the importance of honest responses.
  • Phrase questions to be non-judgmental and non-assumptive.
  • Use indirect questioning techniques where appropriate.
Reducing social desirability bias improves the accuracy of your survey measures and provides a more genuine view of respondents' attitudes and behaviors.

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Most popular questions from this chapter

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