Sampling is a technique used in research to select a subset of a population to make inferences about the whole population. Sampling error occurs when the characteristics estimated from the sample are different from the true population characteristics. There are also non-sampling errors including non-response error when selected units do not respond and response errors from factors like respondent errors in answering questions, interviewer bias, recording errors, and issues with questionnaire design. Methods to minimize sampling error include preparing an updated sampling frame, using appropriate probability sampling techniques, minimizing multi-stage sampling, using an appropriate sample size, and reducing attrition rates.