1. Sampling error: This occurs when the sample selected for the survey is not representative of the population being studied, leading to biased results.
2. Non-response error: This occurs when a significant portion of the selected sample does not respond to the survey, leading to a potential bias in the results.
3. Measurement error: This occurs when the questions asked in the survey are unclear, leading to inaccurate responses from participants.
4. Coverage error: This occurs when certain groups within the population are not included in the survey, leading to a lack of representation and potential bias in the results.
5. Response bias: This occurs when participants in the survey provide inaccurate or dishonest responses, either intentionally or unintentionally.
6. Processing error: This occurs when errors are made during the data collection, entry, or analysis process, leading to inaccurate results.