Writing Survey Questions: More Then Meets the Eye...
I recently reviewed three online surveys - one from a government office, another from a radio station, and a third from a university. Each was a well-intentioned effort to learn more about their respective audiences' opinions. Unfortunately, each was also critically flawed by the same fundamental problem: Question construction errors. Before a single response was received, the usefulness of each survey was in doubt.
What's most disconcerting is the likelihood that decisions will be made, and actions taken, based on poor information. Each organization would have been better served by avoiding the rush to push their survey out, slowing down, and taking a step back to carefully consider how they were asking the questions.
Let's look at an example of how a question can be revised to provide better information.
Example 1
Do you think our local news coverage has any "slant" or "bias?"
Question analysis
The question seems straight-forward enough, and the response categories appear balanced. Yet confusion exists between the question and the response categories. The question prepares the respondent that news coverage "bias" is going to be measured, but the response categories introduce the terms liberal, fair, balanced and conservative.
Furthermore, an assumption is made that the question and response categories are referring to degree of bias (liberal or conservative) in a political sense.
The discontinuity between the question and response categories tax the respondent, increasing the likelihood of inaccurate measurement as well as survey abandonment.
In addition, and to my knowledge, the audience to which the survey invitation was sent consists largely of financial contributors. In which response category do you think most contributors would place themselves? Fair and balanced, perhaps?
Question revision
A better approach is to ask two questions, using question skipping logic, to obtain better information:
Do you think our local news coverage is politically biased? (Select one)
Skipping logic built into the survey would then present a follow-up question to the respondents selecting "Yes" to the bias question.
To what degree do you feel our local news coverage is politically liberal or conservative? (Select one)
In this case, a six-point scale is used because there's no need for a neutral response category. By the very nature of the first question, we know that a respondent answering "Yes" is going to pick a side (liberal or conservative) in the follow-up question. The follow-up question is simply measuring the degree of liberal or conservative.
Example 2
What are your favorite sources of local news?

Question analysis
There are at least four problems with this question and its associated response categories.
First, it's implied, but never stated, that the respondent is supposed to select a response for each news source presented. Inadequate instructions may result in the unintentional skipping of response categories, thereby reducing the amount of useable data.
Second, the scale items are incongruent. Often, Sometimes and Never are measures of frequency, but the item "One of my favorites" is not. Clearly, this poses a problem when interpreting the results.
Third, it's implied that the respondent will be able to correctly select the local NBC, ABC and CBS news programs without the aid of the much promoted local affiliate call signs.
Fourth, the "Other" response category is fine in itself, but the lack of a way for the respondent to then identify the news source is unfortunate.
Question revision
The revised question frames the frequency items to provide more useful data and provides instructions to increase complete responses. In addition, call signs were added to the response categories to help the respondent correctly identify local news on network affiliates and, finally, an option is presented to allow a respondent to identify a local news source used but not included on the list.
In an average week, how often do you use each of these sources for local news? (Select a response for each news source)

If you selected an "Other" source of local news, please provide the name of the source here:
These are just two examples demonstrating the importance of properly constructed questions and response categories. The key to gathering good survey intelligence begins with taking time to compose the best question list possible. I encourage you to invite a survey research specialist to help review and revised your question list the next time you begin a survey project. A small investment in professional assistance will pay huge dividends in the value of the intelligence you gain.
Thanks for reading...
Todd Chavez
Chavez Survey Research, Inc.
www.chavezsurveyresearch.com
(208) 429-8945
I recently reviewed three online surveys - one from a government office, another from a radio station, and a third from a university. Each was a well-intentioned effort to learn more about their respective audiences' opinions. Unfortunately, each was also critically flawed by the same fundamental problem: Question construction errors. Before a single response was received, the usefulness of each survey was in doubt.
What's most disconcerting is the likelihood that decisions will be made, and actions taken, based on poor information. Each organization would have been better served by avoiding the rush to push their survey out, slowing down, and taking a step back to carefully consider how they were asking the questions.
Let's look at an example of how a question can be revised to provide better information.
Example 1
Do you think our local news coverage has any "slant" or "bias?"
- Very liberal
- Somewhat liberal
- Fair and balanced
- Somewhat conservative
- Very conservative
Question analysis
The question seems straight-forward enough, and the response categories appear balanced. Yet confusion exists between the question and the response categories. The question prepares the respondent that news coverage "bias" is going to be measured, but the response categories introduce the terms liberal, fair, balanced and conservative.
Furthermore, an assumption is made that the question and response categories are referring to degree of bias (liberal or conservative) in a political sense.
The discontinuity between the question and response categories tax the respondent, increasing the likelihood of inaccurate measurement as well as survey abandonment.
In addition, and to my knowledge, the audience to which the survey invitation was sent consists largely of financial contributors. In which response category do you think most contributors would place themselves? Fair and balanced, perhaps?
Question revision
A better approach is to ask two questions, using question skipping logic, to obtain better information:
Do you think our local news coverage is politically biased? (Select one)
- Yes
- No
Skipping logic built into the survey would then present a follow-up question to the respondents selecting "Yes" to the bias question.
To what degree do you feel our local news coverage is politically liberal or conservative? (Select one)
- Extremely liberal
- Very liberal
- Somewhat liberal
- Somewhat conservative
- Very conservative
- Extremely conservative
In this case, a six-point scale is used because there's no need for a neutral response category. By the very nature of the first question, we know that a respondent answering "Yes" is going to pick a side (liberal or conservative) in the follow-up question. The follow-up question is simply measuring the degree of liberal or conservative.
Example 2
What are your favorite sources of local news?

Question analysis
There are at least four problems with this question and its associated response categories.
First, it's implied, but never stated, that the respondent is supposed to select a response for each news source presented. Inadequate instructions may result in the unintentional skipping of response categories, thereby reducing the amount of useable data.
Second, the scale items are incongruent. Often, Sometimes and Never are measures of frequency, but the item "One of my favorites" is not. Clearly, this poses a problem when interpreting the results.
Third, it's implied that the respondent will be able to correctly select the local NBC, ABC and CBS news programs without the aid of the much promoted local affiliate call signs.
Fourth, the "Other" response category is fine in itself, but the lack of a way for the respondent to then identify the news source is unfortunate.
Question revision
The revised question frames the frequency items to provide more useful data and provides instructions to increase complete responses. In addition, call signs were added to the response categories to help the respondent correctly identify local news on network affiliates and, finally, an option is presented to allow a respondent to identify a local news source used but not included on the list.
In an average week, how often do you use each of these sources for local news? (Select a response for each news source)

If you selected an "Other" source of local news, please provide the name of the source here:
These are just two examples demonstrating the importance of properly constructed questions and response categories. The key to gathering good survey intelligence begins with taking time to compose the best question list possible. I encourage you to invite a survey research specialist to help review and revised your question list the next time you begin a survey project. A small investment in professional assistance will pay huge dividends in the value of the intelligence you gain.
Thanks for reading...
Todd Chavez
Chavez Survey Research, Inc.
www.chavezsurveyresearch.com
(208) 429-8945
