A PRESENTATION ON “QUOTA SAMPLING”<br />Presented By: (ARYAN’S)<br />Abishek Kumar            <br />Ajit Kumar<br />Gagan...
SAMPLING<br /><ul><li> Sampling may be defined as the selection of some part of an aggregate or totality on the basis of w...
 It is the process of obtaining information about an entire population by examining only a part of it.
The process of selecting sample from the population is called sampling.</li></li></ul><li>WHY SAMPLE ?<br /><ul><li>Saves ...
Saves time
A sample can be more accurate; it has fewer “nonsampling” errors than a census.</li></li></ul><li>TYPES OF SAMPLING<br />
PROBABILITY SAMPLING<br /><ul><li> Simple random sampling
 Systematic random sampling
 Stratified sampling
 Cluster sampling
 Multi-stage sampling</li></li></ul><li>NON-PROBABILITY SAMPLING<br /><ul><li> Deliberate sampling
 Quota sampling
 Sequential sampling
 Snowball sampling
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Quota Sampling

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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 />
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