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When should multistage sampling be used?

When should multistage sampling be used?

Multistage sampling makes data collection more practical for large populations, especially when a complete list of all elements of a population does not exist or isn’t suitable. It is also often used when costs and implementation time need to be minimised.

What is multiple sampling in research?

Multiple sampling is an extension of double sampling. It involves inspection of 1 to k successive samples as required to reach an ultimate decision. Mil-Std 105D suggests k=7 is a good number. Multiple sampling plans are usually presented in tabular form. Procedure for multiple sampling.

What are the advantages of multistage sampling?

What are the Advantages of Multistage Sampling

  • Multistage sampling helps researchers to implement cluster or random sampling after the groups have been determined.
  • Multistage sampling enables the researcher to distribute the population into groups without restrictions.

What are the sampling procedure?

Methods of sampling from a population

  1. Simple random sampling.
  2. Systematic sampling.
  3. Stratified sampling.
  4. Clustered sampling.
  5. Convenience sampling.
  6. Quota sampling.
  7. Judgement (or Purposive) Sampling.
  8. Snowball sampling.

What are the advantage of multi-stage sampling?

What are the Advantages of Multistage Sampling. Multistage sampling helps researchers to implement cluster or random sampling after the groups have been determined. Multistage sampling enables the researcher to distribute the population into groups without restrictions.

Which of the following are the advantages of multistage sampling?

2 Advantage: Flexibility First, it allows researchers to employ random sampling or cluster sampling after the determination of groups. Second, researchers can employ multi-stage sampling indefinitely to break down groups and subgroups into smaller groups until the researcher reaches the desired type or size of groups.

What is difference between multistage and multiphase sampling?

Multiphase sampling must be distinguished from multistage sampling since, in multiphase sampling, the different phases of observation relate to sample units of the same type, while in multistage sampling, the sample units are of different types at different stages.

What is multistage and stratified random sampling?

With Stratified Sampling, the sample includes the elements from each stratum. With cluster sampling, in contrast, the sample includes the elements from the sampled cluster. With Multistage Sampling, we select a sample by using the combinations of different samples.

What are the advantages and disadvantages of multistage sampling?

1 Advantage: Simplification. The main purpose of the creation and present-day use of multi-stage sampling is to avoid the problems of randomly sampling from a population that is larger than the researcher’s resources can handle.

  • 2 Advantage: Flexibility.
  • 3 Disadvantage: Arbitrariness.
  • 4 Disadvantage: Lost Data.
  • What is the problem in multistage sampling?

    Disadvantages of Multi-Stage Sampling High level of subjectivity. Research findings can never be 100% representative of population. The presence of group-level information is required.

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