Sociology Sampling Techniques
- Created by: Tianna Jones
- Created on: 17-10-17 19:55
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- Sampling Techniques
- Random(Probability)
- Every member of population has equal chance of being selected.
- + Provides best chance of an unbiased representative sample for a large group
- - For large a population it is time consuming
- Stratified (Probability)
- Dividing target pop into important categories, selecting members in proportion that they occur in population.
- +Sample is representative of target population
- - Time consuming
- Systematic (Probability)
- Chooses participants from a frame using a system: e.g numbering 1,2,3 and choosing only 3rd pps.
- +Like random sampling (Reperesentative.) Gives unbiased samples from large populations.
- - In some cases using a system can create sample biased.
- Quota (Non- probability)
- Same method as stratified but the researcher decides how many people are in each sample- researcher goes to find pps til Quota is filled.
- +Simple, quick, cheaper.+Used in market research
- - Less likely to produce a representative sample- Subject to researcher bias
- Purposive
- Researcher will choose individuals or cases that fit the nature of research.
- +Quick and cheap
- -Unrepresentative- Bias as only certain individuals are used.
- Opportunity
- Selecting those available at the time
- + Quick, convenient, and economical.
- - Very unrepresentative. -Researcher bias
- Snowball
- Participants selected from an initial contact who puts researcher in contact with other possible participants
- + Good way to find participants with a certain attribute
- - can be VERY bias.
- Volunteer
- Variation of snowball, sociologists may advertise for volunteers.
- +Faster method to obtain
- -lacks representativeness
- Random(Probability)
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