sampling

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20 Terms

1
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define sampling

a subset of a population that is used to represent the entire group as a whole

2
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define target population

group of people from whom the sample is drawn

3
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how do we sample?

  1. find a target population

  • this is the group of individuals the researcher is interested in e.g. people from the UK

  1. then comes sampling

  • samples will always be smaller than the population targeted

  • ideally the samples should be representative of the wider population and generalisable


4
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define opportunity sampling

choosing participants based on their availability e.g. approaching someone in the streets,corridors, then asking them to take part in an experiment

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define systematic sampling

choosing participants based on a predetermined pattern- choosing every nth name from a list of the target population

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define volunteer sampling

the participants select themselves to take part in the research- advertising the experiment and stating where participants turn up if they’re interested

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define stratified sampling

choosing participants based on their group’s percentage of a population, selecting a number of participants from a group based upon that groups proportion within the whole population

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define random sampling

each member in the target population have an equal chance of being selected

9
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which sampling methods are quick and easy?

opportunity + systematic

10
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give an example of opportuity sampling

approaching someone in the streets,corridors, then asking them to take part in an experiment

11
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what is bad about opportunity?

a biased method as participants are chosen at the researcher’s discretion

12
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describe the pros + cons of stratified sampling

pros: highly representative because participants are being chosen in the same proportion, so the results are likely to be generalisable + reduces sampling bias

cons: time-consuming + difficult to carry out

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which method is most likely to be representative?

systematic

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describe the pros + cons of opportunity sampling

pro: it’s unbiased + partially representative

con: very time consuming, not always representative because participants who are picked may all have the same characterstics

15
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example of random sampling

e.g. placing all the names in a hat and drawing names from it

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which method is least likely to be representative?

opportunity

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give two cons on systematic sampling

can be biased + unrepresentative

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what’s good about volunteer sampling?

no researcher bias + ethical because there’s informed consent

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and what’s bad about volunteer sampling?

volunteer bias because people who volunteer may have different characteristics to those who don’t + low representativeness, participants may not apply to the whole target population

20
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give an example of stratified sampling

there’s 60% boys and 40% girls, so you pick 6 boys and 4 girls!