Choosing a sample that is readily available in a non-random way. Ex: Asking for a volunteer
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Simple Random Sample (SRS)
Choosing a sample by randomly selecting individuals from the population. Each possible sample has an equal choice (probability) of being chosen. Ex: Gave population numbers, chose random numbers
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Stratified Sampling
When your population is divided into homogeneous groups by some characteristic and then a SRS is taken from each group. Ex: A population is given one of four colors, then an SRS is taken.
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Cluster Sample
When your population is divided into heterogenous groups called clusters. Some of the clusters are randomly chosen and everyone in those clusters is in your sample. Ex: Took population and grouped by location, then randomly chose one of the locations.
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Systematic Sampling
When you randomly choose a starting point from your population and then select a sample using a fixed interval based on your population. Ex: Lined population up, (name) is chosen and then every fourth person was asked a question.
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Voluntary Response Bias
When people choose to be in a sample. Usually occurs with a Convenience Sample
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Undercoverage
When some members of the population cannot be chosen or are very unlikely to be chosen.
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Non-Response Bias
When an individual is selected to be in the sample, but they choose not to participate or cannot be reached after being chosen.
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Response Bias
When there is a pattern of inaccurate responses. This could be due to the wording of the question, the interviewer, individuals lying for some reason, etc.