SOCIOL 2Z03 Lecture Notes - Simple Random Sample, Stratified Sampling, Sampling Frame

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Sampling technique that gives each sampling unit in the pop an equal chance at being selected in the sample by choosing every nths (n is a number, i. e fifth, sixth etc) unit, starting randomly. This is similar to simple random sampling, but advantage of this is that it is not at tedious, or laborious: 1. Get a sampling frame and number the sampling units. We have a list of 10 000 undergrads at a uni. We want a sample from that list for our study: 2. Sampling interval is the standard distance between the units selected for inclusion in a sample. This is calculated by dividing the population size by the sample size. So we divide 10 000 by 1000 (sample size) Select the random sample using the sampling interval. We go back to our table of numbers between 0 and the value of our sampling interval.

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