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General attitude towards poverty in the UK - Practicing Sociology (week 8)
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  • Course
  • Practicing Sociology (SOC020C132)
  • Institution
  • University Of Roehampton (RU)

Notes on week 8 of the module Practicing Sociology. This is a Sociology degree module. Topics covered: General attitude towards poverty in the UK, qualitative research, quantitative research, sampling: snowball sampling and random sampling, issues and challenges in using quantitative data.

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Document information

  • April 9, 2021
  • 3
  • 2020/2021
  • Class notes
  • -
  • General attitude towards poverty in the uk

Subjects

  • poverty
  • poverty in the uk
  • sociology
  • practicing sociology
  • quantitative data
  • qualitative data
  • quantitative research
  • sampling
  • snowball sampling
  • random sampling
  • qualitative research

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  • University of Roehampton (RU)
  • University of Roehampton
  • Practicing Sociology (SOC020C132)
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Module: Practicing Sociology


Week 8 – General attitude towards poverty in the UK


People’s attitudes towards poverty is important because it can tell us about what
they are willing to do.

Quantitative data
 Number based
 We tend to trust numbers because it feels scientific. However, it can hide a lot
of things.


Qualitative data
 Captures opinions and attitudes
 It’s very difficult to turn it into numbers
 It dissects the questions
 Researchers get a better general understanding of the issue


Quantitative research: British social attitudes survey
 It did not take place at a university, but it has an academic rigour to it.

 It’s a regular survey that takes place annually or biannually that picks out 300
random people to send the survey to.

 It works on a random probability sample – choosing who you are going to use
in your survey.

 Sampling means choosing people to participate in your research study.

 Snowball sampling – this is not done randomly. It’s where you have
specifically chosen one or two people to start a snowballing effect. It’s useful if
you are looking for people with particular traits. One problem with this is that
you end up with a very partial result. You could end up with a confounding
variable. This is bad for quantitative research because it tries to look for a
general representation.

 It tries to make sure that the sample represents the total population.

 Random sampling  it’s not truly random. You might have conscious biases.
You choose which street to go to to interview people. You have a database of
people – the people are assigned a random number and then there’s a
machine that does the choosing for you to take away the bias factor.

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