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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


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