What are the advantages of using a multi-stage random sampling design in large-scale inquiries?
Understand the Problem
The question discusses a multi-stage random sampling design and its advantages compared to single-stage designs. It outlines the process of selecting units through multiple stages and explains how this method is beneficial for large-scale inquiries, especially within extensive geographical areas.
Answer
Reduces research time and costs, makes data collection practical, and supports generalization.
Advantages of using a multi-stage random sampling design include reducing research time and costs, making data collection practical for large populations, and maintaining the ability to generalize findings to the entire population.
Answer for screen readers
Advantages of using a multi-stage random sampling design include reducing research time and costs, making data collection practical for large populations, and maintaining the ability to generalize findings to the entire population.
More Information
Multistage sampling is especially useful for large-scale inquiries because it enables researchers to efficiently handle large population sizes by narrowing down to smaller, manageable units, which facilitates practical and cost-effective data collection.
Tips
A common mistake is assuming multistage sampling always provides highly representative samples. It can be less representative than other methods if not properly designed.
Sources
- Multistage Sampling | Introductory Guide & Examples - Scribbr - scribbr.com
- Multistage Sampling: Types, Applications, Pros & Cons - Formplus - formpl.us
- Pros & Cons of Different Sampling Methods - CloudResearch - cloudresearch.com
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