Podcast
Questions and Answers
Which type of sampling is Quota Sampling classified under?
Which type of sampling is Quota Sampling classified under?
- Systematic Sampling
- Cluster Sampling
- Non-Probability Sampling (correct)
- Probability Sampling
Which one of these is NOT a type of Non-Probability Sampling?
Which one of these is NOT a type of Non-Probability Sampling?
- Convenience Sampling
- Snowball Sampling
- Simple Random Sampling (correct)
- Quota Sampling
What type of sampling involves dividing the population into subgroups and taking a random sample from each?
What type of sampling involves dividing the population into subgroups and taking a random sample from each?
- Snowball Sampling
- Cluster Sampling
- Stratified Sampling (correct)
- Systematic Sampling
Which sampling method selects every nth individual from the population?
Which sampling method selects every nth individual from the population?
In which sampling method do you start with a few participants and ask them to refer others?
In which sampling method do you start with a few participants and ask them to refer others?
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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 sampling method that involves recruiting participants through referrals.
- Convenience Sampling: a sampling method that involves selecting participants based on their availability and ease of access.
- Quota Sampling: a sampling method that involves selecting participants based on pre-determined criteria to ensure a representative sample.
Probability Sampling
- Simple Random Sampling: a sampling method that involves randomly selecting participants from a population using a randomized process.
- Systematic Sampling: a sampling method that involves selecting every nth individual from a population list.
- Stratified Sampling: a sampling method that involves dividing a population into subgroups and randomly selecting participants from each subgroup.
- Cluster Sampling: a sampling method that involves dividing a population into smaller groups (clusters) and randomly selecting a few clusters for the sample.
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