MKT 300 Lecture Notes - Lecture 21: Non-Sampling Error, Statistical Fluctuations, Sampling Frame
Document Summary
Sampling frame error parameter value that can be determined by census. Difference between a statistical value generated by sampling and the population. Can be decreased by increasing the sample size and making the sample as representative of the target population as possible using statistically efficient sampling plans. A list of the population may be inaccurate and thus contain sampling frame error. It is the degree to which the sampling frame fails to account for all of the population. Researchers aim to seek out a sample frame that has the least amount of error at a reasonable cost. Non-response error arises when some of the potential respondents included in the sample do not respond. This is one of the most significant problems in survey research. High response rates decrease the probability that nonresponse bias is substantial. Do due diligence to reduce any issues arising (either actual or perceived). A review of any ethical issues should be conducted before any research project.
