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Define the picture for your group - how can we define these sampling strategies?

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Define the picture for your group - how can we define these sampling strategies?

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Answer all of the questions as a group as quickly as possible

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Answer all of the questions as a group as quickly as possible

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Open the worksheet and add your group's answers

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Open the worksheet and add your group's answers

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Group 1 - Research Context 1

Group 2 - Research Context 2

Group 3 - Research Context 3

Group 4 - Research Context 4

Group 5 - Research Context 1

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The random sampling method is a survey in which each part of the total population has an equal chance of being selected, and is a sample survey conducted in full accordance with the principle of equal opportunity, known as a "probability".

Advantages: simple, intuitive and the most basic form of organisation in random sampling theory
Disadvantages: generally requires the numbering of overall units, which can be difficult when the overall population contains a large number of individuals.

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Divide the population into subgroups (called strata)
based on the relevant characteristic (e.g. age,
income, educational level etc..).
From the overall proportions of the population, you calculate how many people should be sampled from each subgroup (e.g. if there are 2000 Management School students and 1000 Economics students then you would have double the number of participants from the Management School than Economics). Then you take a random sample from each subgroup

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they are people who want to participate in the research without benefits.
So compare to people who were chosen before the research,
we need a after-chosen strategy to keep it unbiased ，effective，and consistency

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Sample survey of randomly selected participants

Collect a group of volunteers with similar conditions, and randomly select them for investigation
In this way, we can get a variety of data and reflect big data with a small part of data

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Men who run in Sheffield and wear a fitbit

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Sheffield based male runners

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survey

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sampled