Sampling
- Created by: jessicawarren
- Created on: 26-04-16 10:38
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- Sampling
- What?
- Process of selecting participants to study from target population
- Sample should be representative of target population
- Can measure quality of sample by assessing population validity- extent to which findings can be generalized to settings other than those being studied
- If sample is low in PV, isn't representative, difficult to generalize
- Random
- Every member of target population has equal chance of being selected e.g picking names out of a hat
- High PV- provides best chance of unbiased/representative sample
- Opportunity
- Selecting participants that are around/ available at the time e.g survey in street
- Low PV- likely to be very biased/ unrepresentative sample
- Volunteer (self-selecting)
- Participants self-select/volunteer to take part in research e.g putting poster up, seeing who comes
- Low PV- likely to be biased/unrepresentative on part of the participant
- Systematic
- Every nth member of target population selected e.g every third house on street
- Sampling frame produced- list of people in target population organised
- Stratified
- Randomly select participants in order to fill up required proportions in target population
- Example: Target pop= 90% men, 10% women. 100 people in sample, randomly select until you have 90 men and 10 women
- What?
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