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MULTISTAGE SAMPLING

PRESENTED BY

SHIBILA A

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What is Multistage Sampling?

  • Multistage sampling is a method for collecting data from large populations without contacting everyone.
  • It breaks down the population into smaller, manageable groups at each step.

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  • What is Multistage Sampling?
  • A few primary sampling units are randomly selected for further study.
  • These units are then subdivided into smaller groups, such as cities or districts.

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  • What is Multistage Sampling?
  • Researchers randomly select from these smaller groups to continue their study.
  • The process can be repeated to reach detailed levels like neighborhoods or households.

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What is Multistage Sampling?�

  • The final sample is chosen using a probability sampling method from the smallest units.

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Advantages

1. Cost and time efficient

2. Practical for large areas

3. Flexible

4. Combines different sampling methods

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Disadvantages

1. Increased sampling error

2. Complex design and analysis

3. Requires detailed population information at each stage.

4. Possible bias if random selection is not maintained properly.

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