Sources of error refer to problems in sampling that reduce the ability to make accurate deductions about the population as a whole. Examples of sources of error are:
Non observation errors: choosing a bad sample, not getting a high response from the sample that you do choose, etc
Observation errors: respondent and interviewer bias
Processing errors: incorrectly organizing or categorizing the data
