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- 1. Presented by-Ridwanul Mosrur ridwanul.mosrur@gmail.com
- 2. Random sampling methods1. Simple random sampling2. Stratified sampling3. Cluster sampling4. Systematic sampling © Ridwanul Mosrur
- 3. 1. Simple random sampling: the process of selecting a sample that allows individual in the defined population to have an equal and independent chance of being selected for the sample © Ridwanul Mosrur
- 4. Steps in random sampling...1. Identify and define the population.2. Determine the desired sample size.3. List all members of the population.4. Assign all individuals on the list a consecutive number from zero to the required number. Each individual must have the same number of digits as each other individual. © Ridwanul Mosrur
- 5. 5. Select an arbitrary number in the table of random numbers.6. For the selected number, look only at the number of digits assigned to each population member. © Ridwanul Mosrur
- 6. 7. If the number corresponds to the number assigned to any of the individuals in the population, then that individual is included in the sample.8. Go to the next number in the column and repeat step #7 until the desired number of individuals has been selected for the sample. © Ridwanul Mosrur
- 7. ADVANTAGES……easy to conduct…strategy requires minimum knowledge of the population to be sampled © Ridwanul Mosrur
- 8. DISADVANTAGES……need names of all population members…may over- represent or under- estimate sample members…there is difficulty in reaching all selected in the sample © Ridwanul Mosrur
- 9. 2. Stratified sampling: the process of selecting a sample that allows identified subgroups in the defined population to be represented in the same proportion that they exist in the population
- 10. Steps in stratified sampling...1. Identify and define the population.2. Determine the desired sample size.3. Identify the variable and subgroups (strata) for which you want to guarantee appropriate, equal representation. © Ridwanul Mosrur
- 11. 4. Classify all members of the population as members of one identified subgroup.5. Randomly select, using a table of random numbers) an “appropriate” number of individuals from each of the subgroups, appropriate meaning an equal number of individuals © Ridwanul Mosrur
- 12. ADVANTAGES……more precise sample…can be used for both proportions and stratification sampling…sample represents the desired strata © Ridwanul Mosrur
- 13. DISADVANTAGES……need names of all population members…there is difficulty in reaching all selected in the sample…researcher must have names of all populations © Ridwanul Mosrur
- 14. 3. Cluster sampling: the process of randomly selecting intact groups, not individuals, within the defined population sharing similar characteristics © Ridwanul Mosrur
- 15. Steps in cluster sampling...1. Identify and define the population.2. Determine the desired sample size.3. Identify and define a logical cluster.4. List all clusters (or obtain a list) that make up the population of clusters.5. Estimate the average number of population members per cluster. © Ridwanul Mosrur
- 16. 6. Determine the number of clusters needed by dividing the sample size by the estimated size of a cluster.7. Randomly select the needed number of clusters by using a table of random numbers.8. Include in your study all population members in each selected cluster. © Ridwanul Mosrur
- 17. ADVANTAGES……efficient…researcher doesn’t need names of all population members…reduces travel to site…useful for educational research © Ridwanul Mosrur
- 18. DISADVANTAGES……fewer sampling points make it less like that the sample is representative © Ridwanul Mosrur
- 19. 4. Systematic sampling: the process of selecting individuals within the defined population from a list by taking every Kth name. © Ridwanul Mosrur
- 20. Steps in systematic sampling...1. Identify and define the population.2. Determine the desired sample size.3. Obtain a list of the population.4. Determine what K is equal to by dividing the size of the population by the desired sample size. © Ridwanul Mosrur
- 21. 5. Start at some random place in the population list. Close you eyes and point your finger to a name.6. Starting at that point, take every Kth name on the list until the desired sample size is reached.7. If the end of the list is reached before the desired sample is reached, go back to the top of the list. © Ridwanul Mosrur
- 22. ADVANTAGES……sample selection is simple © Ridwanul Mosrur
- 23. DISADVANTAGES……all members of the population do not have an equal chance of being selected…the Kth person may be related to a periodical order in the population list, producing unrepresentativeness in the sample © Ridwanul Mosrur
- 24. Nonrandom sampling methods...1. Convenience sampling2. Purposive sampling3. Quota sampling © Ridwanul Mosrur
- 25. 1. Convenience sampling: the process of including whoever happens to be available at the time …called “accidental” or “haphazard” sampling © Ridwanul Mosrur
- 26. DISADVANTAGES……difficulty in determining how much of the effect (dependent variable) results from the cause (independent variable) © Ridwanul Mosrur
- 27. 2. Purposive sampling: the process whereby the researcher selects a sample based on experience or knowledge of the group to be sampled …called “judgment” sampling © Ridwanul Mosrur
- 28. DISADVANTAGES……potential for inaccuracy in the researcher’s criteria and resulting sample selections © Ridwanul Mosrur
- 29. 3. Quota sampling: the process whereby a researcher gathers data from individuals possessing identified characteristics and quotas © Ridwanul Mosrur
- 30. DISADVANTAGES……people who are less accessible (more difficult to contact, more reluctant to participate) are under-represented © Ridwanul Mosrur
- 31. © Ridwanul Mosrur

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