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Questions and Answers
Which of the following is a type of non-probability sampling?
Which of these sampling methods involves dividing the population into subgroups and randomly selecting from each subgroup?
Which sampling method is most likely to involve selecting participants who are readily available?
Which of the following is NOT a type of probability sampling?
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Which sampling method uses a random start point and then selects every nth individual?
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Study Notes
Types of Sampling
- There are two main types of sampling: non-probability sampling and probability sampling
Non-Probability Sampling
- Snowball sampling: a technique where existing subjects refer the researcher to additional subjects
- Convenience sampling: involves selecting participants based on their availability and ease of access
- Quota sampling: a non-probability sampling method where participants are selected based on predetermined characteristics
Probability Sampling
- Simple random sampling: every member of the population has an equal chance of being selected
- Systematic sampling: involves selecting every 'nth' member of the population
- Stratified sampling: involves dividing the population into subgroups and selecting participants from each subgroup
- Cluster sampling: involves dividing the population into smaller groups or clusters and selecting participants from each cluster
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Description
Identify and understand the different types of sampling methods, including non-probability and probability sampling techniques.
