Research Methods : Sampling methods

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11 Terms

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Why do we need to take samples

Researchers can’t study everyone in the target population so they take a sample of them

2
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What is opportunity sampling and e.g.

Selecting people that are available at the time. e.g. interviewing people on the street

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What’s a pro and con of opportunity sampling

P= Quick ,convenient , saves time and money

C=Researcher bias —>unconsciously choses ppl who might prove ur hypothesis, sample won’t be representative of target audience

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What is random sampling

Every member of a target population has an equal chance of being selected

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What r the pros and cons of random sampling

P=no researcher bias

C=time consuming ,might be impossible that everyone has an = chance, might still get a bias sample

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What is stratified sampling

When a target population is divided into distinct subgroups (stratas) based on shared characteristics (e.g age) and participants are then randomly selected from each subgroup to make up the sample

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What are the pros and cons of stratified sampling

P= avoids researcher bias and representative sample obtained

C=working out the stratas and sample is time consuming

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What is systematic sampling

When every nth member of the target population is selected till the sample size is made up

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What are the pros and cons of systematic sampling

P= avoids researcher bias, quite representative

C= need to locate a large list of ppl

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What is volunteer sampling

When individuals have chosen to be involved in a study

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What are the pros and cons of volunteer sampling

P=avoids researcher bias, quick and ethical (ppl have given their consent)

C= unrepresentative (only the ppl who see the ad have a chance to be in the sample)