UGC NET Exam > UGC NET Videos > Crash Course for UGC NET Sociology > Non-probability Sampling | Sampling Designs - 2
Non-probability Sampling | Sampling Designs - 2 Video Lecture | Crash Course for UGC NET Sociology
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FAQs on Non-probability Sampling - Sampling Designs - 2 Video Lecture - Crash Course for UGC NET Sociology
| 1. What is non-probability sampling? |  |
Ans. Non-probability sampling is a sampling technique where the samples are collected in a way that does not give all the individuals in the population an equal chance of being selected.
| 2. What are the advantages of using non-probability sampling? | |
Ans. Some advantages of using non-probability sampling include cost-effectiveness, ease of implementation, and the ability to quickly gather data from a specific target group.
| 3. What are the disadvantages of non-probability sampling? | |
Ans. Disadvantages of non-probability sampling include the potential for bias in the sample, which can affect the generalizability of the results to the larger population.
| 4. What are some common types of non-probability sampling methods? | |
Ans. Some common types of non-probability sampling methods include convenience sampling, purposive sampling, and quota sampling.
| 5. How is non-probability sampling different from probability sampling? | |
Ans. Non-probability sampling differs from probability sampling in that it does not involve random selection of samples, leading to potential biases in the sample selection process. Probability sampling, on the other hand, ensures that every individual in the population has an equal chance of being selected.
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Dec 25, 2024 Last updated |
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