Surveys and sampling methods Flashcards

1
Q

Surveys are

A

a means of collecting primary data from large numbers of people, and are most commonly carried out using questionnaires or structured interviews

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2
Q

Who uses surveys?

A
  • favoured by positivists as they produce quantitative statistical data
  • also used by governments (eg census), market researchers, election pollsters
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3
Q

Example of using surveys - Townsend ‘Poverty in the United Kingdom’ (1979)

A
  • produced a mass of statistical data
  • used questionnaires about the causes and extent of poverty
  • done by trained interviewers
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4
Q

Sample definition

A

a smaller representative group drawn from the survey population

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5
Q

Representative sample definition

A

a smaller group drawn from the survey population, of which it contains a good cross-section, such as the right proportions of people of different ethnicities, ages, social classes, or genders. The information obtained from a representative sample should provide roughly the same results as if the whole survey population had been questioned

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6
Q

Survey population definition

A

the whole group being studied, and will depend on the hypothesis of the researcher

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7
Q

Sampling frame definition

A

a list of the names of all those included in the survey population from which the sample is selected

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8
Q

The representativeness of a sample is affected by

A
  • sample size
  • the sampling frame (eg the electoral register, school registers etc)
  • the sampling method
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9
Q

Sampling method definition

A

a technique sociologists use to select representative individuals to study from the survey population

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10
Q

Example of a sampling method: Random sampling

A
  • every individual has equal chance of being selected
  • commonly done by numbering the names in the sampling frame and using a random number generator
  • may result in an unrepresentative sample
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11
Q

Example of a sampling method: Systematic sampling

A
  • names are selected from the sampling frame at regular intervals (eg every 10th name)
  • risk of being unrepresentative
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12
Q

Example of a sampling method: Stratified random sampling

A
  • stratifies the sampling frame into smaller groups (eg based on ethnicity) according to their proportion of the population, then randomly selects members of this smaller group
  • makes the sample more representative
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13
Q

Example of a sampling method: Quota sampling

A
  • selecting people that fit into certain categories according to their proportion in the survey population as a whole
  • eg choosing 10 middle class people, 10 working class and 1 upper class
  • not necessarily representative - may be done by stopping people in the street, but this would exclude those at work or home
  • may be researcher bias as they choose participants
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14
Q

Example of a sampling method: Multistage/cluster sampling

A
  • selecting a sample in various stages, each time selecting a sample from the previous sample until the final sample is finished
  • eg in a national survey of school students, you could take a sample of schools, then a sample of students within the schools selected
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15
Q

Example of a sampling method: Snowball sampling

A
  • used when a sampling frame is difficult to access or doesn’t exist
  • identify a couple of people who fit the desired characteristics and ask them to introduce you to more
  • not random or representative - rely on volunteers recommending other volunteers so could be biased
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16
Q

Example of using snowball sampling - Laurie Taylor ‘In The Underworld’ (1984)

A
  • wanted to investigate the lifestyles of criminals
  • knew a convicted criminal, who agreed to put him in touch with other criminals willing to cooperate with his research
17
Q

Non-representative sampling

A

in some cases a non-representative sample may be useful, eg if studying specifically young middle-class couples, it would be more useful to have more young middle-class couples in the sample

18
Q

Pilot survey definition

A

a small-scale practice survey carried out before the final survey to check for any possible problems (eg unclear questions) to avoid wasting time or resources in the the final survey

19
Q

Problems with the social survey

A
  • Validity - statistical data may not present a genuine image, could fail to accurately depict motives and behaviour, use categories imposed by sociologists
  • Generalisation - how far the findings can be generalised to the whole survey population
  • Reliability - whether it can be repeated by a different researcher on different participants to give similar results
20
Q

The stages of a survey

A
  1. state the hypothesis
  2. operationalise concepts
  3. define survey population and draw up sampling frame
  4. select a sample
  5. decide research method (questionnaire, interview etc)
  6. do a pilot survey and evaluate
  7. conduct final full-scale survey
  8. analyse and interpret findings
  9. prepare a report on findings