Use demographic questions to ask your respondents personal information and collect valuable insides. Whether you’re developing products, providing health services, understanding public opinion, knowing more about the survey respondents will give you valuable data.
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Demographic questions are usually a part of market research or market segmentation surveys that give insights into respondents' age, gender, marital status, ethnicity, education, household composition, employment status, income, location, etc.
This guide will teach you demographic question examples:
1. Age (or birth date) example
How old a person is will often determine his/her knowledge and experience with the focus of the survey. Asking a respondent about Age is often one of the first demographic questions asked in a survey.
2. Ethnicity example
Capturing a respondent’s ethnicity or race is another common demographic inquiry. A person’s ethnicity or culture may influence his/her responses to survey questions.
3. Household Composition example
Inquiries about the household composition, including marital status, are often important to survey researchers. Respondents who are married may respond to inquiries differently than those who are separated or divorced.
4. Education example
Asking a respondent what their highest level of education completed is often found on surveys. Respondents who completed a four-year degree at a college or university may answer questions differently than those whose education ended in high school.
Use Intro fields to collect demographic information.
What's next?
- Survey bias means that the inquiry is phrased or formatted in a way that leads people to choose a certain answer instead of another. The same applies if your inquiries are hard to understand, making it difficult for customers to answer honestly.
- Survey incentives are actually not much different from any other kind of incentive. They are reasons, monetary or non-monetary, physical or emotional that drive or motivate people to fill in your questionnaire. In other words, they would boost questionnaire response rate.
Survey Accuracy is the extent to which a survey result represents the attribute being measured in the group of interest or population. Determining how accurate the data captured by a survey reflects the entire population requires computing the confidence interval and the confidence level.