The way we choose to collect data can influence, in many ways, the data that we actually collect Consider the situation where you are asked the following question when was the last time that you attended a sports event Think of what might come to the responders' mind What came to your mind Now have a look at document 1 and document 2 and think of how the image might change the interpretation of the question, and the answers that we'll obtain What about the choice of data types Is it the same to ask how satisfied you are with this class by providing a list of choices (for instance, not satisfied , somehow satisfied , satisfied , very satisfied ), or providing a Likert scale with 4 points And if you use a Likert scale, can the distance between the points introduce bias in the results Think of these and many other situations where data collection might introduce bias in the results Explain HOW the introduction of bias in the results could happen, WHY, and provide EXAMPLES Then, in your follow up posts, expand on your colleagues' thoughts

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The way we choose to collect data can influence, in many ways, the data that we actually collect. Consider the situation where you are asked

The way we choose to collect data can influence, in many ways, the data that we actually collect.

Consider the situation where you are asked the following question: "when was the last time that you attended a sports event?"

Think of what might come to the responders' mind. What came to your mind?

Now have a look at document 1 and document 2 and think of how the image might change the interpretation of the question, and the answers that we'll obtain.

What about the choice of data types?

Is it the same to ask how satisfied you are with this class by providing a list of choices (for instance, "not satisfied", "somehow satisfied", "satisfied", "very satisfied"), or providing a Likert scale with 4 points?
And if you use a Likert scale, can the distance between the points introduce bias in the results?

Think of these and many other situations where data collection might introduce bias in the results. Explain HOW the introduction of bias in the results could happen, WHY, and provide EXAMPLES. Then, in your follow-up posts, expand on your colleagues' thoughts.