How to Create a Survey: Advanced Part 2 | Three Tips for Obtaining Appropriate Data
Even if you conduct a survey, if you do not obtain the appropriate data, the analysis results will not be useful.
To ensure you get the right data, keep these three tips in mind:
- Set the options so that one of them always applies
- Choose words that are easy to interpret
- Eliminate bias
Let’s take a look at each one individually.
Set the options so that one of them always applies
Some people may have had the experience of thinking, “None of the options apply to me.” This sometimes happens in surveys. What’s more, it’s surprisingly easy to overlook.
In such cases, people tend to choose answers carelessly and don’t get the right data.
After carefully creating the questionnaire to ensure that nothing is missing, have as many relevant people as possible actually fill it out to verify the results.
Choose words that are easy to interpret
Some words have multiple meanings, and the same word may have different nuances depending on the reader’s position. If these are mixed together algeria phone number library , it may affect the analysis results.
It is important to choose words that can be easily interpreted by anyone who reads them. If there are any unclear words, you need to rephrase them into more specific and concise words as much as possible.
For example, let’s say you want to know how someone spends their free time, and you have the following question:
At first glance, this doesn’t seem like a problem, but some people have to work on weekends depending on their job. In that case, their days off are weekdays, not weekends. The meaning of the question itself changes.
the simple phrase “day off” flat tax parameters for 2025 which applies to everyone. “Holiday” would be fine, but there are also “holidays” such as “national holidays” that are not based on “you.”
On the other hand, “day off” is an expression that means the person’s day off, so it will definitely get your point across.
Eliminate bias
If questions contain bias (non-objective, non-neutral perspectives, expressions, or values), appropriate answers will not be obtained. This will have a negative impact on the analysis results, even to some extent.
Once you have created a survey, carefully review it to ensure that it is as free of bias as possible.
Some examples of bias include the following:
<Questions that instill preconceived notions>
The question, “Are you china phone numbers interested in programming, which is essential for business people to advance their careers?” impresses on the respondent the idea that programming is necessary for business people.
As a result, the percentage of people who answer “I’m interested” will be higher than if you simply asked, “Are you interested in programming?” This is a kind of misleading.
