목차
Intro. Surveys and Opinion Polls
Sampling Procedures
Probability sampling
1)Simple random sampling
2)Systematic random sampling
3)Stratified random sampling
4)Multi-stage sampling
5)Cluster sampling
*Panel study design
Non-probability sampling
1)Quota sampling
2)Snowball sampling
Sampling Procedures
Probability sampling
1)Simple random sampling
2)Systematic random sampling
3)Stratified random sampling
4)Multi-stage sampling
5)Cluster sampling
*Panel study design
Non-probability sampling
1)Quota sampling
2)Snowball sampling
본문내용
1. Simple Random sampling
Samples are drawn randomly from the waste, ensuring that all parts of the waste have a statistically equal chance of being selected.
Advantages
1)Ideal for statistical purposes
Disadvantages
1)Hard to achieve in practice
2)Requires an accurate list of the whole population
3)Expensive to conduct as those sampled may be scattered over a wide area
Samples are drawn randomly from the waste, ensuring that all parts of the waste have a statistically equal chance of being selected.
Advantages
1)Ideal for statistical purposes
Disadvantages
1)Hard to achieve in practice
2)Requires an accurate list of the whole population
3)Expensive to conduct as those sampled may be scattered over a wide area
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