| Module 1: Producing Data
3. Sources of data > 3.2 Generating your own data > 3.2.2. Generating data from observations
vii. Ensuring samples are not biased
If you want your samples to be unbiased, you need to be aware of how you generate your samples. Bias can be introduced because of the interaction between the survey participants or units and the person conducting the survey. Possible sources of error in surveying include:
- response errors (e.g. people might lie about their age, their weight, how many cigarettes they smoke, how much alcohol they drank last week, and so on);
- missing data (e.g. you might be unable to contact a subject in your study);
- the effect that the wording of questions has on responses; and
- the effect that the interviewer might have on participant responses.
Simple random sampling (SRS) is an attempt to ensure that the samples are more representative. However, mistakes can be made with simple random sampling, as the following story shows [4].
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Which of the following scenarios could have affected the result of the survey?
a) In the 1930's only middle and upper class people could afford a car.
b) Franklin Roosevelt was very unpopular with the middle and upper classes.
c) The response rate was less than 25
d) The people did not like being surveyed
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Match each of the actions undertaken by the newspaper to how that action made the sample reliable.
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