Difference between revisions of "Non-Probability Sampling"

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(Created page with "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...")
 
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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:
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Non-Probability Sampling
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* Quota Sampling
 
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** In quota sampling relevant properties for the population are determined. Items which share characteristics are then considered to be representative of the whole population.
 
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* Judgmental Sampling
 
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** No element of chance is used but 'bias' from the interviewer
 
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* Snowball Sampling
 
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** Move on from an initial starting place and ask there to ask more participants
 
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* Convenience Sampling
 
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** Sample is determined based on what is easy and cheap to obtain.
 
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Part of: [[M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods|M7-Quantitative Decision Methods-S1 - Managing Data and Survey Methods]]
 
 
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Revision as of 19:20, 27 August 2020

Non-Probability Sampling