Sampling Technique - Probability PDF
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This document discusses sampling techniques, differentiating between probability and non-probability sampling methods. It highlights various non-probability sampling methods like convenience, quota, purposive, and snowball sampling and their applications. The document also touches upon the limitations of non-probability sampling in terms of generalizability and external validity.
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1. Non-probability sampling means every member of the population has an equal chance of being selected. 2. Convenience sampling is a type of non-probability sampling. 3. Quota sampling ensures that subgroups of a population are represented in the sample. 4. Non-pro...
1. Non-probability sampling means every member of the population has an equal chance of being selected. 2. Convenience sampling is a type of non-probability sampling. 3. Quota sampling ensures that subgroups of a population are represented in the sample. 4. Non-probability sampling is often used when the research does not aim to generalize the findings to the entire population. 5. Purposive sampling involves selecting participants based on specific characteristics. 6. In non-probability sampling, selection bias is minimized. 7. Snowball sampling is commonly used to access hard-to- reach populations. 8. Non-probability sampling is always more accurate than probability sampling. 9. In quota sampling, the sample is selected based purely on the availability of participants. 10. Expert sampling is a form of non-probability sampling where participants are chosen because of their knowledge. 11. Non-probability sampling is typically more cost-effective and faster than probability sampling. 12. Judgmental sampling is another term for random sampling. 13. Systematic sampling is a type of non-probability sampling. 14. The findings from non-probability sampling are often considered to have lower external validity.
