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Answer :
The type of error that results when respondents misinterpret questions, intentionally give a response that misrepresents the truth, or selectively refuse to answer questions is known as response error or response bias.
What is Response Error?
Response error occurs during the process of collecting data from surveys, polls, or questionnaires. It introduces inaccuracies in the data due to the way respondents provide their answers.
Why Does Response Error Occur?
Misinterpretation of Questions: Sometimes, the wording of questions can be ambiguous or complex, leading respondents to misunderstand what is being asked.
Intentional Misrepresentation: Respondents might provide false answers due to privacy concerns or to align with social norms, leading to biased results.
Nonresponse Error: This occurs when some individuals choose not to answer certain questions. Selective nonresponse can skew results, particularly if there's a pattern in who chooses not to respond.
How to Minimize Response Error:
- Clear and Simple Wording: Ensure that questions are straightforward and easy to understand.
- Pilot Testing: Test the survey on a small group before full deployment to catch potential misunderstandings.
- Confidentiality Assurance: Guarantee respondents that their answers are confidential to encourage truthful responses.
- Offering Optional Responses: Allow "Prefer not to answer" options to reduce forced inaccuracies.
Overall, understanding and minimizing response error is crucial in achieving reliable and accurate survey data.
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