Data Collection and Sampling Techniques.pptx
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This document discusses different methods for collecting data and sampling techniques. It describes common data collection methods like surveys, questionnaires, and interviews. For sampling, it explains random sampling which uses chance to select subjects, systematic sampling which selects every kth subject, stratified sampling which divides a population into groups and samples from each, and cluster sampling which divides a population into clusters and randomly selects some clusters.
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- 2. Data Collection • Telephone surveys • Mailed questionnaire • Personal interview surveys • Surveying Records or direct observation of situations
- 3. Sampling Techniques • Random Sampling • Systematic Sampling • Stratified Sampling • Cluster Sampling • Other Sampling Methods
- 4. Random Sampling • Random samples are selected by using chance methods or random numbers. ■ One such method is to number each subject in the population. Then place numbered cards in a bowl, mix them thoroughly, and select as many cards as needed. The subjects whose numbers are selected constitute the sample. ■ Random number generator
- 5. Systematic Sampling • Researchers obtain systematic samples by numbering each subject of the population and then selecting every kth subject. ■ For example, suppose there were 2000 subjects in the population and a sample of 50 subjects were needed. Since 2000 50 40, then k=40 ■ First number from 1-40 would be selected randomly
- 6. Systematic Sampling • Researchers obtain systematic samples by numbering each subject of the population and then selecting every kth subject. ■ For example, suppose there were 2000 subjects in the population and a sample of 50 subjects were needed. Since 2000 50 40, then k=40 ■ First number from 1-40 would be selected randomly
- 8. Stratefied Sampling • Researchers obtain stratified samples by dividing the population into groups (called strata) according to some characteristic that is important to the study, then sampling from each group.
- 9. Cluster Sampling • Here the population is divided into groups called clusters by some means such as geographic area or schools in a large school district, etc. • Then the researcher randomly selects some of these clusters and uses all members of the • selected clusters as the subjects of the samples.
- 10. Sampling Techniques • Random Sampling • Systematic Sampling • Stratified Sampling • Cluster Sampling • Other Sampling Methods