Certain types of bias will make it difficult to get a representative sample of truthful responses
Bias Types
Response Bias
When respondent change their answers to influence results to avoid embarrassment or to give answer they think questioner wants.
Example: raise your hand if you cheated on the test.
You are intentionally changing your response based on circumstance. However, the interviewer did not intentionally make you feel this way
Sampling Bias
When a sample does not closely represent the population.
Example: Asking a dry man if they like water.
When the wrong Sampling Techniques is being used.
Measurement Bias
Common bias. When the collection method is such that characteristics are consistently over or under represented. Ways they can occur are listed below:
Leading
Example: A lot of people do not like math. How would you feel being referred to as a math geek?
This wording intentionally guides you to the answer the questioner wants.
Loaded Question
You are given a question and 4 answers, none of the answers you would like to pick.
Non-Response Bias
When the opinions of respondents differ in meaningful ways from those of non-respondents.
Example: Mail in survey asks about drinking habits. 3% respond. Respondents are often radical on the subject. the feeling over or under estimate the feeling of the population
