The sampling process
- Created by: grace.elms
- Created on: 05-04-16 10:03
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- Sampling process
- Sampling unit = the induviduals involved in the research
- Sampling frame = a list from which the sample will be taken from e.g. census
- Representative sample = trying to ensure the sample is as representative as possible
- Types of sample
- Random sampling = everyone in the sampling frame has an equal chance of selection
- Un-bias
- Un-representative = the sampling frame may be innacurate thus creating errors
- Systematic sampling = the sample is chosen by selecting every 5th, 12th or 25th name from the sampling frame
- Cant be generalised
- Not representative of the WHOLE of society
- Stratified sampling
- Population is divided into catagories based on ethnicity, gender, age, class then the sample is chosen to reflect the catagories
- Representative, valid
- Bias,not everyone is registered on the census/may lie on it
- Population is divided into catagories based on ethnicity, gender, age, class then the sample is chosen to reflect the catagories
- Quota sampling
- Used by researches in public who stop people to answer questions e.g. women from 25-40
- Specific in depth data, valid to the research
- Cant be generalised, bias
- Used by researches in public who stop people to answer questions e.g. women from 25-40
- Snowball sampling = researchers make contact with someone to research another, then another & so on.....used when researches cant gain access to their wanted participants due to small population, don't wish to be identified e.g. heroin users, historic/personal documents
- LOTS of data, not time consuming
- May not be accurate, people may refuse to participate, volunteers may be bias/lie
- Cluster samping
- Researcher selects a series of places then chooses a sample at random within those areas
- People may refuse to participate due to cultural differences, reluctancy to share private info, time consuming, risk of criminalising themselves
- Researcher selects a series of places then chooses a sample at random within those areas
- Random sampling = everyone in the sampling frame has an equal chance of selection
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