MKTG 320 Chapter Notes - Chapter 5: Non-Sampling Error, Bias Of An Estimator, Measuring Instrument
Document Summary
Random error or random sampling error: error that results from chance variation. Chance variation difference between the sample value and the true value of the population. Systematic error or bias: error that results from problems or flaws in the execution of the research design, sometimes called the non-sampling error. Sample design error: systematic error that results from an error in the sample design or sampling procedures. Sampling frame: list of population elements or member from which units to be sampled are selected. Frame error: error resulting from an inaccurate or incomplete sampling frame. Population specification error: error that results from incorrectly defining the population or universe from which a sample is chosen. Selection error: error that results form incomplete or improper sample selection procedures or not following appropriate procedures. Measurement error: systematic error that results from a variation between the information being sought and what is actually obtained by the measurement process.
