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Summary AQA A-Level Sociology Research Methods Notes

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AQA A-Level Sociology Research Methods Notes - summarised using all the relevant information, with key points and names in bold. Evaluations are clearly marked as + / - which allows for these notes too easily be converted into essay plans. Includes all sub-topics in the specification. Learning these notes achieved me an A*.

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Research Methods



Types of data
-Primary data: information collected by sociologists themselves for their own purpose. This may be to obtain a
‘first-hand’ picture of a group or society or to test a hypothesis.
-Social surveys: these involve asking people questions in a written questionnaire or an interview.
-Participant observation: the sociologist joins in with the activities of the group they are studying.
-Experiments: sociologists rarely use lab experiments, but they sometimes use field experiments and the
comparative method.

-Advantage: sociologists are able to gather precisely the information they need to test their hypothesis.
-Disadvantage: the process can be costly and time consuming.

-Secondary data: information that has been collected by someone else for their own purpose, but which the
sociologist can then use.
-Official statistics: produced by the government on a wide range of issues. Ex. crime, divorce, health,
unemployment as well as other statistics produced by charities, businesses, churches etc.
-Documents: letters, diaries, photos, official reports, novels, newspapers and TV broadcasts.

-Advantage: quick and cheap to obtain
-Disadvantage: those who produce it may not be interested in the same questions as the sociologist and
therefore they may not provide exactly the information needed.

Quantitative & Qualitative data
-Quantitative: information in numerical form. Ex. official statistics, information gathered by opinion polls and
market research surveys.
-Qualitative: gives a feel for what something is like and goes more in depth. Ex. what it feels like when a
marriage ends. Gathered by in-depth interviews or participant observation.

What influences our choice of method? PET
Practical
-Time & money
-Requirements of funding bodies (they may need data in a specific format)
-Personal skills & characteristics
-Subject matter
-Research opportunity

Ethical
-Informed consent
-Confidentiality and privacy
-Effects of research on participants
-Vulnerable groups (ex. Children, disability, elderly)
-Covert research

Theoretical
-Can we obtain an accurate, truthful picture of society?
-Validity: a method that produces a true or genuine picture of whatever is being studied. It allows researchers to
get closer to the truth.
-Reliability: also known as replicability. A reliable method is one that can be repeated by another researcher to
obtain the same results.
-Representativeness: are the people you study a typical cross-section of the population you are interested in?
You need to select an appropriate sample size.
-Methodological perspective: what sociologists are influenced by.

Positivists & Interpretivists
-Positivists prefer quantitative data (questionnaires, structured interviews, official statistics)
-They seek to discover patterns of behavior.
-See sociology as a science.
-Functionalists and Marxists.

-Interpretivists prefer qualitative data (participant observation, unstructured interviews, personal documents).
-Seek to understand social actors’ meanings.

, -Reject the view that sociology is a science.
-Interactionists.

The research process
1. Choose a topic.
2. Determine aims and hypotheses.
3. Operationalise concept.
4. Pilot study.
5. Select a sample.

-Hypothesis = an untested theory or explanation expressed as a statement which a sociologist will set out to
investigate.
-An advantage of a hypothesis is that it can give direction to research.
-Hypotheses are preferred by interpretivists.

-Aim = a general statement about the purpose of the research.
-Aims are preferred by positivists.

-Operationalising concepts = to turn a sociological theory or concept into something measurable.
-A pilot study is a draft or small scale study prior to the real thing, a trial run which helps to identify any issues
that there may be within the study so that they can be fixed.
-Used to fix issues such as:
 Ironing out any errors / mistakes, such as grammar errors
 To check if it is fit for purpose
 To see how long it is going to take
 To see how much it will cost you to run


Types of sampling
-Sample = a smaller sub-group of individuals which are drawn from the wider population we are interested in.
-Sampling frame = a list of all the members of the population we are interested in studying.
-Random sampling = selected purely by random choice, each individual has an equal chance of being selected.
-Quasi-random sampling = similar to random, every 10th or 100th name is selected.
-Stratified random sampling = you first divide up the population and then select the same proportion of each at
random.
-Quota sampling = much like stratified random, except researchers go out looking for a certain number (quota)
of each sort of person, ex. 10 boys, 10 girls.
-Opportunity sampling = using individuals who are easy to access at the time of the study taking place.

Problems with representative sampling
-The exact characteristics of a population may not be known.
-It may be impossible to find a sampling frame ex. All criminals - may not all be convicted.
-Therefore researchers may use snowball sampling - researcher contacts 1 person involved and asks them to
suggest others who may be relevant.

Reasons for not using representative data
-Ethical = may go against a researcher's methodological perspective. Ex. Interpretivists believe it's more
important to obtain valid data and an authentic understanding of social actors' meanings.
-Practical = potential respondents may refuse to participate.

Experiments
-Lab experiment
-Always has 2 groups.
-The experimental group = the group where changes in variables can be applied and results measured.
-The control group = the group that remains the same / unchanged and results are measured.



 The researcher can manipulate the variables to establish a cause and effect.
 It’s a reliable method as it can be easily replicated by following the same procedures.
 They can generate quantitative data.
 Fairly easy to control variables - increases validity.
 Small scale means results may not be very representative.
 Lacks validity (interpretivists therefore dislike lab experiments).

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