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Do the respondents know the answers to the questions?. On many occasions surveys pose questions that people could not possibly answer accurately, yet they do so anyways which can create unreliable data.
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Do the respondents know the answers to the questions? • On many occasions surveys pose questions that people could not possibly answer accurately, yet they do so anyways which can create unreliable data. • For example; North American newspapers often report that organizations are defrauded of over $100 billion dollars per year by employees. This number could only be accurate if each person admitted honestly to fraudulent behavior. On a side not, would the company really like to disclose information about there company being internally fraudulent as it would not look good on them. • When you are creating questions for a survey be sure that the respondent is able to answer truthfully and also wants to answer truthfully.The answer must be attainable.
Is there a standard against which to compare the results? • Sometimes conclusions are useless unless you have meaningful data to compare it to. • In an experiment that was designed to test a new vaccine the results showed a 73% decrease in colds within the year. But when there was a comparison with a control group who was injected with water the results were not as staggering because the water injection reduced the average colds by 63%. • This shows us that there may be other factors at play that reduced the average amount of colds in the test subjects. They could have had a change in lifestyle or environmental factors may have a changed both of which could affect the amount of colds one may get. • Without the use of the control group the vaccine could claim a 73% reduction in colds when it is not entirely attributed to that.