Sampling
- Created by: holly6901
- Created on: 06-11-19 10:11
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- Sampling
- Systematic sampling
- Random technique
- Involves choosing a random number between 1 and 10 and selecting those participants e.g. every third participant
- Simple to understand and easy to execute
- Bigger risk of data manipulation
- Stratified sampling
- Random technique
- The overall group is separated into smaller groups, then a systematic sample is taken
- Can provide greater precision than a simple sample and saves money
- Can't be used in all studies as overlapping is an issue
- Quota sampling
- Non-random technique
- The researcher will approach people in the street with traits they're looking for
- It is loaded with bias as researchers usually approach people who they believe will co-operate
- Easy and quick
- Purposive sampling
- Non-random technique
- The researcher will seek out specific groups to partake
- They mean the data is generalisable
- They are highly prone to researcher bias
- Opportunity sampling
- Non-random technique
- It involves researchers making the most of events that'll attract the research groups e.g. a Star Trek convention
- There's a chance of them not being representative
- A quick way of choosing participants
- Snowball sampling
- Non-random technique
- Used to access a deviant or criminal group
- Uses participants knowledge of other people
- Cheap and uses less planning
- The sample willing to co-operate may not be representative, especially when the group is involved in deviant or criminal activity
- Systematic sampling
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