3 methods for gathering primary data
social surveys
participant observation
experiments
2 disadvantages of collecting primary data
costly
time consuming
2 examples of secondary data
official stats
documents
1 disadvantage of secondary data
the person who produced it may not be interested in the same questions as sociologists so inaccurate info
5 practical issues
time and money
funding bodies
personal skills and characteristics
subject matter
research opportunity
example of subject matter as a practical issue
difficult for a male sociologist to study an all female group through participant observation
-written questionnaires useless to those who cant read or write
5 ethical issues
informed consent
confidentiality and privacy
harm
vulnerable groups
covert research (can cause deception)
3 theoretical issues
validity
reliability
representativeness
why do interpretivists like validity?
produces a true picture of what something is like. eg qualitative methods like participant observation
which methodological perspective prefers reliability
positivists (uses quantitative data)
which structural theories are positivists?
functionalists and marxists
which methodological approach do interactionists prefer?
interpretivists
4 factors influencing choice of topic
sociologists perspective
societys values
practical factors
funding bodies
how can the sociologists perspective influence choice of topic?
feminist researcher- domestic violence
how can practical factors influence choice of topic
access can restrict what they study
positivists
cause and effect relationships
sociology as a science
objective
do interpretivists favour a hypothesis to begin with or an aim, and why?
aim, more open-ended, arent tied to trying to prove a hypothesis
operationalising concepts
positivists prefer this
interpretivists dont because they are interested in actors own meanings and definitions rather than imposing their definitions of concepts
pilot study
trying out a version/ draft
example of sampling frame
electorial register
random sampling
random number generator or names picked out of hat. everyone has an equal chance of being selected
systematic/ quasi-random sampling
every nth person in the sampling frame is selected
stratified random sampling
stratifies (breaks down) population in sampling frame. the sample is then created in the same proportion
quota sampling
population is stratified and each interviewer is given a quota which they have to fill with respondents who fit these characteristics. continue until quota is filled