A survey question is biased when it contains assumptions.
See solution.
Practice makes perfect
We are asked to describe a problem that can be solved by conducting a survey. Imagine that we developed a mobile application with recipes for brewing coffee. The application also consists of interesting facts about coffee.
We want to verify the level of customer satisfaction for the application users. To do so, we can conduct a customer satisfaction survey. Let's take a look at an example survey question.
Survey
How helpful do you find our application?
Notice that the question does not contain any assumptions. Therefore, the question is not biased. Now, we must think of possible answers to the question. Since we ask how helpful the application is, we need to include a wide range of the possible answers.
1.&Not helpful at all
2.&Slightly helpful
3.&Neither helpful nor unhelpful
4.&Somewhat helpful
5.&Very helpful
It would be difficult to survey every member of the population of users. Therefore, we will choose a part of the population, a sample, to get an estimation about the opinion of all of our users.
We can assign a unique number to each of the users to ensure anonymity. Then, the numbers will be generated randomly to choose the sample. The survey will show as a pop-up for the users of the sample. Each user has an equal probability of being selected and the method is not biased.
