200592 Lecture 9: systematic + cluster sampling
31 May 2019
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Skip interval = population list size/sample size systematic sampling is fair probability sampling be cause it employs a random starting point, which ensures there is sufficient randomness in the systematic sample t o approximate an equal probability of any member of the population being selected into the sample because the sample frame will not include certain popula tion members, these members have no chance of being selected into the sample. Marketing research - google docs t he researcher subdivides the population to be surveyed into geographic areas, such as census tracts, cit ies, neighborhoods, or any other convenient and identifiable geographic designation one step area sample approach, the researcher may believe the various geographic areas (clusters) to be sufficiently identical to allow concentrating his or her attention on just one area and then generalizing the results to the full population. two step area sample approach to the sampling process.
