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Author Question: Another name for probability sampling is: a. accidental sampling. b. purposive sampling. c. ... (Read 144 times)

kaid0807

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on: Jul 8, 2018
Another name for probability sampling is:
 
  a. accidental sampling.
  b. purposive sampling.
  c. quota sampling.
  d. random sampling.

Question 2

Cluster sampling is:
 
  a. a form of nonprobability sampling used in small surveys.
  b. also known as multistage sampling.
  c. unlikely to result in sampling errors.
  d. useful when the target population is found in a small geographical area.


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cassie_ragen

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Reply #1 on: Jul 8, 2018
Answer to Question 1

ANS: D
In probability sampling, every member of the population has a probability higher than zero of being selected for the sample. To achieve this probability, the sample is obtained randomly.
Accidental sampling is the same as convenience sampling. In probability sampling, every member of the population has a probability higher than zero of being selected for the sample. To achieve this probability, the sample is obtained randomly.
Purposive sampling is used in qualitative studies to make sure certain types of subjects are included in the study. In probability sampling, every member of the population has a probability higher than zero of being selected for the sample. To achieve this probability, the sample is obtained randomly.
Quota sampling is a convenience sampling technique with a specific strategy to include members of certain groups. In probability sampling, every member of the population has a probability higher than zero of being selected for the sample. To achieve this probability, the sample is obtained randomly.

Answer to Question 2

ANS: B
Both terms, cluster sampling and multistage sampling, have the same meaning in sampling methods.
Cluster sampling is considered a type of probability sampling.
Sampling errors are always a possibility.
It is much more likely that the population is from a very large geographical area, necessitating the cluster sampling.


kaid0807

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Reply 2 on: Jul 8, 2018
Excellent

xiazhe

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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