Types of Sampling
- Created by: india3010
- Created on: 07-12-15 09:13
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- Types of Sampling
- Stratified Sampling
- Take into account underlying patterns in all data and ensures all are samples
- Advantages; No aspects are missed
- Disadvantage; Data collection is bias Can't make stastical references
- Pragmatic Sampling
- Sample where you can get access to and where changes are observed
- Advantage; Safety Realistic
- Disadvantage; Not a fair sample Can't make valid stastical referance
- Systematics Sampling
- Selected at regular intervals
- Advantage; Quick, Easy
- Disadvantage; Cant make statistical reference May coincide with data or location
- Random Sampling
- Use random number table to select sample points
- Advantage; Statistically sound opens up further analysis
- Disadvantage; Same item can be picked more than once Easy to miss something
- Stratified Sampling
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