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Quota Sampling


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Published in: Technology, Education

Quota Sampling

  1. 1. A PRESENTATION ON “QUOTA SAMPLING”<br />Presented By: (ARYAN’S)<br />Abishek Kumar <br />Ajit Kumar<br />Gaganjitsingh<br /> Praveen Kumar<br />SumantoSharan<br />SwapnilAdahalli<br />
  2. 2. SAMPLING<br /><ul><li> Sampling may be defined as the selection of some part of an aggregate or totality on the basis of which a judgement or inference about the aggregate or totality is made.
  3. 3. It is the process of obtaining information about an entire population by examining only a part of it.
  4. 4. The process of selecting sample from the population is called sampling.</li></li></ul><li>WHY SAMPLE ?<br /><ul><li>Saves money
  5. 5. Saves time
  6. 6. A sample can be more accurate; it has fewer “nonsampling” errors than a census.</li></li></ul><li>TYPES OF SAMPLING<br />
  7. 7. PROBABILITY SAMPLING<br /><ul><li> Simple random sampling
  8. 8. Systematic random sampling
  9. 9. Stratified sampling
  10. 10. Cluster sampling
  11. 11. Multi-stage sampling</li></li></ul><li>NON-PROBABILITY SAMPLING<br /><ul><li> Deliberate sampling
  12. 12. Quota sampling
  13. 13. Sequential sampling
  14. 14. Snowball sampling
  15. 15. Panel sampling
  16. 16. Shopping mall sampling</li></li></ul><li>QUOTA SAMPLING<br />
  17. 17. QUOTA SAMPLING<br /> In quota sampling the selection of the sample is made by the interviewer, who has been given quotas to fill from specified sub-groups of the population. <br />For example, an interviewer may be told to sample 50 females between the age of 45 and 60.<br />
  18. 18. CONT…..<br />In quota sampling the selection of the sample is non-random. <br /> For example interviewers might be tempted to interview those who look most helpful. The problem is that these samples may be biased because not everyone gets a chance of selection. This random element is its greatest weakness and quota versus probability has been a matter of controversy for many years <br />
  19. 19. QUOTA SAMPLING…..<br /><ul><li> Pre-plan number of subjects in specified categories (e.g. 100 men, 100 women)
  20. 20. In uncontrolled quota sampling, the subjects chosen for those categories are a convenience sample, selected any way the interviewer chooses
  21. 21. In controlled quota sampling, restrictions are imposed to limit interviewer’s choice
  22. 22. No call-backs or other features to eliminate convenience factors in sample selection</li></li></ul><li> Quota Sampling Most commonly used non-probability method Select a sample on specified criteria (usually to make similar to target population)<br /> Pick people to fill quota on characteristics especially important to research goals <br />Example: Studying political issues, set quota on party identification<br />Sample of 200<br />Registered Republicans 50% Sampled Republicans 100 <br />Registered Democrats 40% SampledDemocrats 80<br /> Registered Independents 10% SampledIndependents 20<br />Using quotas for several criteria <br />Race/Ethnicity <br />Black White Latino/a Asian <br />Gender Gender Gender Gender <br />Political M F M F M F M F<br />Affiliation <br />Democratic<br /> Republican<br />Independent<br />
  23. 23. Advantages<br /><ul><li>Quick and cheap to organise</li></ul>Disadvantages<br /><ul><li> Not as representative of the population as a whole as other sampling methods
  24. 24. Because the sample is non-random it is impossible to assess the possible sampling error </li></li></ul><li>Quota Vs Stratified Sampling<br />
  25. 25. THANK YOU<br />