Methods of research (Week 10) Stages of research design Flashcards
Stages of research design
4 Stages of research design
Suggested by Oberg (1999)
- Planning: Researcher decides on the strategy - what to research and how. Plans research question/hypothesis.
-
Information gathering: identifying a sample to study. Conducting a pilot study and applying research method to it.
3. Information processing: data needs to be analysed and meanings must be interpreted - **Evaluation: ** internal analysis (how was the research conducted - was the research method appropriate). External analysis, conclusions are reported to the wider audience for their analysis/criticism.
Research problem
- Initial stage
- Sociologists decide which general topic the study.
- Then go on to develop more specific ideas about what aspect to study.
**This decision is based on factors such as: ** - Personal intrests of researcher
- Current interest in the topic, amoungst sociologists or society in general.
- If money (funding) can be obtained
- Practical factors eg. if it’s possible to contact respondents easily.
Research hypothesis or Question
Eg. Hypothesis: Ginn & Arber’s (2002) “the effect of motherhood on full time employment is minimal for graduate women”. >** this is a prediction of what they think will be shown in the data. **
Eg. Question: Conway’s (1997) examination of parental choice in secondary education was based on the question “does parental choice help to strengthen the advantage of the middle classes over the working class?”
Sampling Frame
- Used to collect a representative sample
- It’s a list of everyone in a target population.
- Used so the researcher can contact people. They must know who they are.
- It may not be used if everyone in the target population can be identified Researcher may not gain access to the sampling fame due to:
- Legality – name cannot be revealed by law.
- Confidentiality – eg. a business may deny access it its payment records
- Privacy – some groups don’t want to be studied.
Random sampling
- Based on the probability that the random selection of names from a sampling frame will produce a representative sample.
- Everyone in the target population must have a equal chance of being chosen.
Systematic sampling
- Often used when the target population is very large
- Variation of random sampling
- Takes a sample directly from a sampling frame.
eg. Every 4th name would be chosen. - Not truly random because every not everyone has an equal chance of being included.
Stratified random sampling
- It stratifies the target population into groups whose characteristics are known to the researcher eg. different age groups.
- Each group is treated as a separate random sample.
Stratified quota sampling
- The selection is done on a opportunity basis.
- eg. A researcher needs 20 males for the sample; they then ask men to be part of the sample and once 20 males have agreed, the quota is complete and no further males are selected.
Non-representative sampling
- Sometimes it is okay for the sample to be non-representative.
- If generalisations don’t need to be made and the researcher is just interested in the behaviour of the group itself, then non-representative sampling can be used.
- In Venkatesh’s gang study, representativeness was unnecessary as he didn’t want to generalise from his findings. He simply wanted to understand the gang in depth.
Best opportunity sampling
- The researcher may be forced to settle for opportunity sampling.
Best opportunity sampling: involves choosing a sample that gives the best possible opportunity to test a hypothesis. eg. If the hypothesis is false for this group, it will probably be false for other similar groups.
Example: Goldthorpe (1968) wanted to test the claim that the working class in the UK was becoming difficult to differentiate from the middle class. Their best opportunity sample consisted of highly paid car-assembly workers in Luton. This group was chosen because if any working class group was likely to show lifestyles similar to their middle class peers, it would be these ‘affluent workers’.
Opportunity sampling
Snowball sampling
- Works on the principle of ‘rolling up’ more and more people to include in the sample over time, like a snowball.
- Researcher would identify someone in the target population who was willing to participate in their research, the person will suggest more people and so on until the researcher has a usable sample.
- Although this technique is unrepresentative, it may be the only option in some situations.
- Opportunity sampling can be useful when no sampling frame is available and the researcher knows little about the characteristics of their target population.
Pilot studies
- Used before starting full scale research
- Used ot test various elements of their research design
- Mini version to test the feasibility of carrying out a study and to identify any problems.
- eg. Used to test a large scale questionnair to test whether respondents understand your questions in the same way. If they are understood differently, you need to change them. > Ensures it’s valid
Operationalisation
- Sociological research often involves ideas and concepts that non-sociologists may find difficult or unclear.
- Sociologists need to make decisions abut how to put these ideas and concepts into practice (How to operationalise them).
eg. the term social class.
Most people are familiar with the terms ‘working class’ and ‘middle class’ but won’t agree on exactly what they mean or how to measure them. Operationalise by being more specific - asking about occupations or income.
Interpreting results
- Researcher needs to analyse findings to work out what they mean.
- The researcher will look for common themes and trends in the data
- Will reflect on the data > whether the data supports the hypothesis or not.
- Once analysed and interpreted, data can be presented in terms of:
- Findings
- Conclusions
- Limitations
- Suggestions for further research
- Improvements to the research design.
Case studies
- The study of one particular case or instance of something. eg. a particular school, factory, hospital or single individual.
- The life history is an example of a case study.
- Life histories are accounts of people’s lives which they tell to researchers.