Purposive sampling is a method of sampling in which sample elements are selected as they are identified by successive informants or interviewees.
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Q39: A sample that looks similar to the
Q40: In a census, of all the elements
Q41: A researcher who draws conclusions about group-level
Q42: Because each stratum is represented exactly in
Q43: St. Jean (2007) used purposive sampling for
Q45: To avoid sampling bias, we could create
Q46: The more homogeneous the population, the more
Q47: Including cell phone numbers in a phone
Q48: A cluster is a naturally occurring, mixed
Q49: Multistage cluster sampling requires less prior information
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