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What is one of the challenges of non-probability sampling?
What is one of the challenges of non-probability sampling?
- Difficulty in assessing whether the sample is representative of the population (correct)
- Guarantee of each element having a chance of being included in the sample
- Estimation of sampling variability
- Use of probability sampling as the preferred tool
What is non-probability sampling?
What is non-probability sampling?
- A method that requires a complete survey frame
- A method of random selection from a population
- A method of selecting units from a population using a subjective method (correct)
- A method that guarantees each element has a chance of being included in the sample
What is a risk associated with non-probability sampling?
What is a risk associated with non-probability sampling?
- Difficulty in estimating the probability of any one element being included in the sample (correct)
- Ability to estimate sampling variability
- Guarantee of each item having a chance of being included in the sample
- Use of probability sampling as the preferred tool
Why should data collected using non-probability sampling be used with extra caution?
Why should data collected using non-probability sampling be used with extra caution?
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What does non-probability sampling assume about the sample?
What does non-probability sampling assume about the sample?
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Study Notes
Non-Probability Sampling
- Non-probability sampling is a sampling technique where the selection of units is based on non-random criteria, such as convenience, judgment, or expertise.
- One of the challenges of non-probability sampling is that the results may not be representative of the population being studied.
Risks and Limitations
- A risk associated with non-probability sampling is that the sample may not be representative of the population, leading to biased results.
- Data collected using non-probability sampling should be used with extra caution because the sample is not randomly selected, which may affect the generalizability of the results.
- Non-probability sampling assumes that the sample is representative of the population, but this assumption may not always hold true.
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