Sampling Methods
- Created by: givemeastar
- Created on: 12-02-18 17:20
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- Sampling Methods
- Opportunity Sample
- Selecting people who are most easily available at the time of the study.
- E.g. people eating in KFC, teacher's class of students etc.
- + Less time consuming as you don't need to rely on equipment or volunteers.
- - Researcher has a large influence over the pp's chosen and may show bias in selection of pp's.
- Volunteer Sample
- Volunteers make up the sample. Also known as self-selected sample.
- + Likely to get keen and willing volunteers that want to participate so less likely to drop out.
- - Likely to get a biased sample as only a certain type of keen and willing people are likely to volunteers to you can't generalise.
- Random Sample
- Every member of the target population has an equal chance of being selected
- For a small sample: draw names out of a hat. For a large sample: random number generator.
- + Less researcher bias and pp differences are more likely to be spread over the conditions
- - The sample may still not be representative even though time and effort has been taken to ensure this.
- Stratified Sample
- Sample is produced by identifying subgroups according to their frequency in their population
- E.g. if there's 40% males and 60% females in your school, you want to make sure your sample reflects this by having 40% male and 60% female in your sample.
- + Likely to be representative of the target population
- - In order to generalise, you would have to identify all the key features of the population which may not be possible.
- Systematic Sample
- Sample obtained by selecting every nth person
- E.g. put names on a list and select every 10th person.
- + Limits researcher bias
- - The sample may not be representative even though time and effort has been taken to ensure this.
- Opportunity Sample
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