This document discusses errors in research design, specifically non-sampling errors. It defines non-sampling error as error due to factors other than random sampling. Some potential sources of non-sampling error mentioned include surrogate information error, measurement error, population definition error, sampling frame error, data analysis error, respondent selection error, questioning error, recording error, and cheating error. The document also discusses non-response error and response error as specific types of non-sampling errors and provides examples of sources of non-sampling errors like inadequate data specification and errors in data collection, tabulation, and presentation.