What could be a consequence of using leading questions in a survey?

What could be a consequence of using leading questions in a survey?

• A. Increased accuracy of results
• B. Bias in the data collected
• C. Improved respondent engagement
• D. Clearer understanding of respondent opinions

Answer: (B)

Using leading questions in a survey can create bias in the data collected. Leading questions are designed to suggest a particular answer or influence the respondent's choice, which may not reflect their true beliefs or feelings. This can skew the data, making it less reliable and less valid, as respondents may feel pressured to answer in a way that aligns with the phrasing of the question rather than their own perspective. For example, if a question is framed in a way that assumes a certain opinion or encourages a particular response, it can result in responses that don't accurately represent the respondents' actual views. This can lead to conclusions drawn from the survey that are misleading or unrepresentative of the broader population. In contrast, options suggesting increased accuracy, improved engagement, or clearer understanding do not capture the inherent risks posed by leading questions, which typically compromise the integrity of the data rather than enhance it.

Using leading questions in a survey can create bias in the data collected. Leading questions are designed to suggest a particular answer or influence the respondent's choice, which may not reflect their true beliefs or feelings. This can skew the data, making it less reliable and less valid, as respondents may feel pressured to answer in a way that aligns with the phrasing of the question rather than their own perspective.

For example, if a question is framed in a way that assumes a certain opinion or encourages a particular response, it can result in responses that don't accurately represent the respondents' actual views. This can lead to conclusions drawn from the survey that are misleading or unrepresentative of the broader population.

In contrast, options suggesting increased accuracy, improved engagement, or clearer understanding do not capture the inherent risks posed by leading questions, which typically compromise the integrity of the data rather than enhance it.