Difference between revisions of "Non-Probability Sampling"
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| − | Non-Probability Sampling | + | With Non-Probability Sampling respondents are sampled such that you cannot calculate the chance of inclusion. In this case you cannot claim you have statistical representation. Well conducted non-random surveys can still produce acceptable results. Example sample strategies are: |
| + | |||
| + | * Quota Sampling | ||
| + | ** In quota sampling relevant properties for the population are determined. Items which share characteristics are then considered to be representative of the whole population. | ||
| + | * Judgmental Sampling | ||
| + | ** No element of chance is used but 'bias' from the interviewer | ||
| + | * Snowball Sampling | ||
| + | ** Move on from an initial starting place and ask there to ask more participants | ||
| + | * Convenience Sampling | ||
| + | ** Sample is determined based on what is easy and cheap to obtain. | ||
| + | Part of: [[M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods|M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods]] | ||
[[Category:mbi]] | [[Category:mbi]] | ||
Latest revision as of 20:01, 27 August 2020
With Non-Probability Sampling respondents are sampled such that you cannot calculate the chance of inclusion. In this case you cannot claim you have statistical representation. Well conducted non-random surveys can still produce acceptable results. Example sample strategies are:
- Quota Sampling
- In quota sampling relevant properties for the population are determined. Items which share characteristics are then considered to be representative of the whole population.
- Judgmental Sampling
- No element of chance is used but 'bias' from the interviewer
- Snowball Sampling
- Move on from an initial starting place and ask there to ask more participants
- Convenience Sampling
- Sample is determined based on what is easy and cheap to obtain.
Part of: M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods
