The most important element of sampling surveys is that it is random. When there is no random element, the survey results will be skewed in one way or another. Additional strategies to be random are systematic, stratified, and cluster. A systematic sample draws participants from a random list of names, and choose the same "n" number. Aka choosing the participants in groups of ten. Stratified random samples identify different factions in a group and select a few people from each group. This system requires information about the different subgroups before beginning. Lastly, the random cluster randomly selects a group of individuals. However, if the number of clusters are small, then the results could be warped.
The most important element of sampling surveys is that it is random. When there is no random element, the survey results will be skewed in one way or another. Additional strategies to be random are systematic, stratified, and cluster. A systematic sample draws participants from a random list of names, and choose the same "n" number. Aka choosing the participants in groups of ten. Stratified random samples identify different factions in a group and select a few people from each group. This system requires information about the different subgroups before beginning. Lastly, the random cluster randomly selects a group of individuals. However, if the number of clusters are small, then the results could be warped.
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