10 Questions
Which type of sampling does not require a complete survey frame?
Convenience sampling
What is the main challenge associated with non-probability sampling?
No assurance of random inclusion of elements
Which sampling method is a fast, easy, and inexpensive way of obtaining data?
Convenience sampling
What is the preferred tool used by official statistical agencies to meet information needs about a population of interest?
Probability sampling
What does non-probability sampling assume about the sample?
It is representative of the population
What type of sampling method is a subjective (i.e. non-random) method?
Convenience Sampling
What is the main risk associated with assuming the sample is representative in non-probability sampling?
Difficulty of assessing the assumption
Which sampling method does not require a complete survey frame?
Convenience Sampling
What challenge is associated with data quality in non-probability sampling?
Potential presence of participation and selection bias
Which type of sampling is the most common nonprobability sample?
Convenience Sampling
Study Notes
- Non-probability sampling is a method of selecting units from a population using a subjective, non-random approach.
- It is faster, easier, and less expensive than probability sampling as it does not require a complete survey frame.
- However, drawing conclusions about the population from the sample requires the assumption that it is representative.
- This assumption can be risky due to the difficulty of assessing its validity.
- No way to estimate the probability of an element being included or ensure that each item has a chance of being included.
- Convenience sampling is the most common type of non-probability sampling, where units are selected based on ease and accessibility.
- Official statistical agencies prefer probability sampling for population information, but non-probability data may have challenges with data quality due to participation and selection bias.
Learn about the different non-probability sampling methods used to select units from a population. Understand the advantages and limitations of non-probability sampling and its implications for drawing conclusions about the population.
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