Sampling Techniques

  • Created by: brooke34
  • Created on: 29-01-19 16:35
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  • Sampling Methods
    • Snowball sampling
      • If not easy to gain sample, gatekeeper used to gain access to the group. When introduced to one the more etc.
      • If someone doesn't want to take part then they don't have to (ethics) its easy to get sample after access found
      • Risk that nobody will want to respond and bias sample due to non random selection. Unrepresentative
      • Gatrell - Hard Labour (parenthood)
    • Random sampling
      • Uses all members of the target population (equal chance of getting picked)
      • EG picking names from a hat.
      • Likely to be unbiased and representative as no control over who is chosen
      • Can't be used on large sample as time consuming. Risk of not being representative
      • Crime Survey of England and Wales
    • Volunteer sampling
      • Invite people to participate in research (advert)
      • Unrepresentative as as only those interested will respond
      • Highly ethical as people willingly take part
      • Thomas and Znaniecki - Polish immigrants
    • Systematic sampling
      • Takes every nth name from the sample (every 3rd name)
      • If sampling frame is organised then even, so high representative
      • If the initial frame isn't random the can be bias in selecting
    • Opportunity sampling
      • Made up of people available at the time of the study
      • Easiest technique and it quick and cheap to produce
      • Not representative as those who are available may be certain type of person
    • Stratified sampling
      • Population is split into divided up then from each a sample is taken.
      • Can get equal proportions of gender etc so representative
      • It is very time consuming and hard to find a balance of the sample
    • Quota sampling
      • Doesn't require frame, calculates how many of each type needed them approaches
      • It's cost-effective and quite easy and quick to make
      • The sample selection ins't random so can lead to bias.


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