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Simple random sample, stratified sample, cluster sample, systematic sample

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  1. Simple random sample, stratified sample, cluster sample, systematic sample.
  2. The population is divided into mutually exclusive groups (such as gender or age); then random samples are drawn from each group.
  3. The population is divided into mutually exclusive groups (such as geographic areas); then a random sample of clusters is selected. The researcher then collects data from all the elements in the selected clusters or from a probability sample of elements within each selected cluster.
  4. A list of the population is obtained--e.g., all persons with a checking account at XYZ Bank--and a skip interval is obtained by dividing the sample size by the pupulation size. If the sample size is 100 and the bank has 1,000 customers, then the skip interval is 10. The beginning number is randomly chosen within the skip interval. If the beginning number is 8, then the skip pattern would be 8, 18, 28,....
  5. Convenience sample, judgement sample, quota sample, snowball sample.
  6. The researcher's selection criteria are based on personal judgment that the elements (persons) chosen will likey give accurate information.
  7. The researcher finds a prescribed number of people in several categories--e.g., owners of large dogs versus owners of small dogs. Respondents are not selected on probability sampling criteria.
  8. Additional respondents are selected on the basis of referrals from the initial respondents. This method is used when a desired type of respondent is hard to find--e.g., persons who have taken round-the-world cruises in the last three years. This technique employs the old adage "Birds of a feather flock together."
  9. everything, both favorable and unfavorable, that a person receives in an exchange.
  10. a product used to manufacture other goods or services, to facilitate an organization's operations, or to resell to other customers.

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