KINE 2049 Lecture Notes - Lecture 8: Multistage Sampling, Cluster Sampling, Systematic Sampling
11 Dec 2017
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Document Summary
Having a bigger sample is usually better for getting more accurate data, but what really matters is that it is representative of your population. Samples should be more than 30 people, less than 50% of the population, and be representative. If you can do 50% of the population, you might as well do all the population. Selection types simple random selection: putting everyones name in a hat. The problem with this is that you need to be careful of the size of the paper you use. Strati ed random selection: you divide the population into di erent subgroups based on characteristics or traits, like gender or religion. Say you have a group of 70% women and 30% men. To sample this, you can take 7 women and 3 men, which is still the same ratio of the population. Systematic sampling: you use a system, like taking every 10th person from a group.
