Problem

Question 6

List and explain at least two considerations that should be kept in mind in order to avoid response bias when writing survey questions.
Submit Question

Answer

Expert–verified
Hide Steps
Answer

When designing survey questions, it is crucial to consider factors that may lead to response bias, which is a tendency for respondents to answer questions in a way that does not reflect their true thoughts or feelings. Response bias can significantly affect the accuracy and reliability of survey data. Here are two considerations to keep in mind to avoid response bias: 1. Question Wording: The way a question is phrased can greatly influence how respondents answer. To avoid response bias, questions should be clear, neutral, and free from leading or loaded language that may sway the respondent's answer. For example, instead of asking, "Do you agree that the government is failing to address climate change?" which assumes a negative stance, a more neutral question would be, "What is your opinion on the government's efforts to address climate change?" 2. Response Options: The choices provided for answers can also contribute to response bias. It is important to offer a balanced set of response options that cover the full range of possible opinions or behaviors. This includes providing an "other" option or allowing for open-ended responses when the provided choices may not fully capture the respondent's perspective. Additionally, the order of the response options should be randomized when possible to prevent order bias, where respondents may be more likely to choose the first options presented. By carefully considering question wording and response options, researchers can minimize the risk of response bias and gather more accurate and meaningful data from their surveys.

Steps

Step 1 :When designing survey questions, it is crucial to consider factors that may lead to response bias, which is a tendency for respondents to answer questions in a way that does not reflect their true thoughts or feelings. Response bias can significantly affect the accuracy and reliability of survey data. Here are two considerations to keep in mind to avoid response bias: 1. Question Wording: The way a question is phrased can greatly influence how respondents answer. To avoid response bias, questions should be clear, neutral, and free from leading or loaded language that may sway the respondent's answer. For example, instead of asking, "Do you agree that the government is failing to address climate change?" which assumes a negative stance, a more neutral question would be, "What is your opinion on the government's efforts to address climate change?" 2. Response Options: The choices provided for answers can also contribute to response bias. It is important to offer a balanced set of response options that cover the full range of possible opinions or behaviors. This includes providing an "other" option or allowing for open-ended responses when the provided choices may not fully capture the respondent's perspective. Additionally, the order of the response options should be randomized when possible to prevent order bias, where respondents may be more likely to choose the first options presented. By carefully considering question wording and response options, researchers can minimize the risk of response bias and gather more accurate and meaningful data from their surveys.

link_gpt