research methods Flashcards
(69 cards)
pervert
practical
ethical
reliable
valid
examples
representative
theoretical
the research process:aim
the purpose of the research. Usually decided by the academic researcher but sometimes it is decided by the company that the reseacher is working for
the research process:literature review
to summarise and analyse the existing literature about the aim or topic so that researchers are not repeating ideas
the research process:hypothesis
the prediction about the outcome of the research. More likely to be assigned to quantitative research
the research process:pilot studies
a small scale version of the research which is usually undertaken if there is a large research population to check for any issues or initial patterns
validity:
is this research true to life?
reliable data is not always valid. Respondents may lie, forget, exaggerate, give answers that they think is socially acceptable or if it is a long term investigation they may change their mind
reliability:
can it be repeated for consistent results?
To ensure reliability the researcher must operationalise concept-defining a concept precisely so that it can be easily understood.
representative:
needs to be representative of the population as a whole- different ages,genders,classes and ethnic groups so that it can be generalised to wider society
objectivity:
avoiding bias-the fact maintains that position regardless of context or situation
subjectivity:
the value judgements that are inherent in a piece of research- will be dependent on context or the perspective. Interpretivist data is often subjective as it looks for the meanings and emotions which are part of society.
reflexibility:
the ability to reflect on your own bias/subjectivity in order to mitigate this influencing your research
primary data
its always brand new and up to date
some primary methods can be expensive and time consuming and could put the researcher in a dangerous or be unethical. There are more practical issues like time funding and accesibility
secondary data:
very quick and easy to collate and usually has not ethical concerns. Allows for the comparison of past and present events and societies. May not be reliable or valid and could be limited. They could not be authentic,representative or credible. Double bias is possible
positivism
believe that sociology should be scientific and analyse social facts (affect behaviour and are easily measured-external like laws). They believe it is possible to test a hypothesis and look for cause and effect or trends over time.
questionnaires,statistics,lab experiments
quantitative data
measured by positivists. Numbers and statistics which are easily put into a graph or chart and are easy to analyse. It can be easily repeated to test for reliability and allows for large sample sizes for reprehensibility.
interpretivism
believe you can only understand human behaviour using empathy. They explore the meanings, motives, and reasons behind behaviour and social interaction. They suggest that there is not such thing as social facts-lived experience is more important.
qualitative data
interpretivists. It is rich and detailed and allows the researcher to build a rapport with the participants to allow for a valid and detailed picture of what they think. It is a subjective method as it involves making value judgements about the social world.
critiques of interpretivism
can be difficult to repeat-not very reliable. Tend to involve small scale research such as focus groups or case studies-not representative. They can be very time consuming(practicality). Answers are subjective and open to interpretation so the researcher may misinterpret the data
critiques of positivism
some people believe that numerical data can hide reality (closed questions may be difficult to understand or may not allow for other categories). It may lack depth and insight into social interaction as it ignores the meanings,motives and reasons. Even official statistics can be politically biased.
practical constraints
time- affects sample size!, participants are less likely to want to take part in a long term study
money- money for resources involved in collecting the data-participants less willing if they have to travel etc
access-may not have access to some groups due to safeguarding or ethical concerns so they need to gain informed consent from a gatekeeper.
triangulation
combining different research methods to compensate to any draw backs of any of the methods. Increases validity but can be very expensive and time consuming.
ethical considerations
consent
confidentiality
deception
debrief
withdrawal
surveys
collect info. about a large target population
they are a process which can use surveys or questionnaires
positivists-quantitative data
data analysed to discover patterns and trends
very reliable
representative sampling methods
random sampling
multi stage sampling-choosing participants in layers
stratified random sampling-random selection from each stratum in the hierarchy
quota-a certain quota in each bracket but not completely random eg approaching people who look nice
systematic-choosing a random starting point then selecting every nth value