qualitative data
interpretive data, more in depth
quantative data
numbers based data
positivism
approach research in the same way as the natural sciences. It should be objective and logical.
interpretivism
to understand the world you need to be empathetic in order to understand the meanings attached to action.
Primary research
Collected first hand with the purpose of using for that specific research
Secondary research
Pre existing data that can be used for research
reliable
repeatable
valid
measure what it sets out to do, paints a true picture and reflects reality
research population
the group of people that you wish to study.
sample
those who are taking part in your study.
generability
the extent to which their findings can be applied to the larger population of which their sample was a part.
representative
the extent to which a sample mirrors a researcher's target population and reflects its characteristics
snowball sampling
research participants are asked to identify other potential subjects and so on
quota sampling
when the sample has to be selected from a certain quota
Cluster sampling
households may be randomly selected
random sampling
everyone has equal chance of being chosen
stratified sampling
random sample taken from particular social categories
systematic sampling
every nth person is chosen from a sampling frame
Practical issues
funding
time
access and opportunity
skills and characteristics of researcher
Ethical issues
legality
avoiding harm to participants and others
confidentiality
deception
consent
theoretical issues
imposition problem
validity
reliability
positivism
interpretivism