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Related Questions
- What are the key differences between stratified and cluster sampling methods?
- How can random sampling be used to minimize selection bias in data collection?
- What are some common challenges associated with stratified sampling and how can they be addressed?
- Can you explain the concept of over-sampling and under-sampling in data collection and how they relate to selection bias?
- What role does cluster sampling play in ensuring inclusivity in data collection, particularly in rural or remote areas?
- How can researchers use stratified sampling to ensure that their data accurately represents the target population?
- What are some best practices for implementing random sampling to minimize selection bias and ensure representativeness in data collection?
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