HLTH 200 Lecture Notes - Lecture 8: Sampling Frame, Quota Sampling, Snowball Sampling

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10 Nov 2016
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When can you use it: anytime. Advantages: easy to implement, easy to explain to non-technical people, estimates are easy to calculate. When can you use it: when you want to sample every kth element in an ordered set. Advantages: don"t have to count through all the people in the list to find the ones that were randomly selected, suitable sampling frame can be identified easily, sample evenly spread over entire reference population. Disadvantage: if there is some sort of order to the list, watch out that could cause bias in representativeness. When can you use it: when you are concerned about under-representing smaller subgroups in the population. Advantages: allows you to oversample minority groups to assure a large enough size of the subgroup to allow for special subgroup analyses. Disadvantages: requires a sampling frame with information on the characteristic that you are interested in stratifying on (e. g. race, sex, age, etc. )

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