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Slides

Sampling

Sophie Roydhouse Sociology AS - Level Inglês 10 slides

Slides do conjunto (10)

  1. Sampling

    • Sampling is a way of finding a small number of people on whom to conduct research, who ideally form a representative cross section of the population in general
  2. Simple random sample

    • This is like drawing names from a hat. Most are often done by a computer program that selects names randomly
    • PROS
    • Every member has an equal chance of getting picked
    • CONS
    • Could end up with a disproportionate group (e.g. all males)
  3. Systematic Random Sample

    • Taking every nth name from the sampling frame
    • e.g. picking every 10th person from an electoral roll
    • PROS
    • Avoids bias as the sample is random
    • Quick to do
    • CONS
    • Doesn't always guarantee a representative sample
    • The larger the sample the more likely it is to be a representative sample and less likely to be in favor of a particular group
  4. Stratified Random Sample

    • The population under study is divided into sub-populations i.e. by age, gender and class.
    • A sample is then drawn up randomly based on these groups. So, if females aged 30 and under were 40% of the stratified sample would need to be females under 30 too, to be representative.
    • PROS
    • Removes disproportion
    • Can make it specific to the hypothesis
    • CONS
    • Complicated to do
    • Takes longer
  5. Snowball Sampling

    • A sociologist may be interested in studying a private/secret/deviant population group.
    • Using a snowball sample, the researcher would begin by making contract with one member of the population, gaining his/her confidence until the person is willing to give names of the others they know, their friends, family or contacts.
    • The researcher would then approach these people and hope they would have more contacts too, to get the sample they needed
    • PROS
    • Can be any size
    • The only way to access difficult groups
    • CONS
    • Little validity
    • Takes too long
    • Could be easily bias
  6. Slide 6

  7. Purposive Sampling

    • A sociologist selects people on the basis that they are likely to be relevant to the subject being studied.
    • Anyone thought to be significant and useful to the research may be included.
    • E.g. Hodkinson knew he wanted goths for his sample so diliberatley found them to use in his sample
    • PROS
    • Correct info for research
    • Saves time
    • CONS
    • Could be bias
  8. Quota Sampling

    • A decision made by the researcher about the numbers of people that they want from certain social characteristics and then select the personally.
    • This method is often used by researchers "on the street"
    • PROS
    • Can be used by market researchers, TV companies and newspapers
    • Choosing a specific person
    • Can be representative
    • CONS
    • Take time as the researcher goes out to look for the number of people instead of selecting them randomly
  9. Volunteer and Opportuity Sampling

    • Volunteer
    • Non representative people who volunteer not to be typical of the research population
    • Is quick and easy
    • Opportunity
    • Making the most of an opportunity to go out to the place and collect the data
    • Takes a long time
    • Not representative
  10. Access

    • A gatekeeper is someone who knows the people requested for the sample and they have it within their power to let the sociologist have access to them.
    • Headteacher
    • Police
    • Bosses/Employers
    • Prison owners

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AS - Level Sociology Slides sobre Sampling, criado por Sophie Roydhouse em 09-04-2016.
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