what is primary research?
what are the data sources for a data base?
what are the data sources for a library?
what are the data sources for a grey literature?
what are the types of ways to search for data?
searching the data: PEO - what does it include when searching
searching the data: PICO - what does it include when searching
searching the data: SPIDER - what does it include when searching
What is the reference management - PRISMA
Step 1a – records from database
Step 1b – records from other sources.
Step 2 – removal of duplicates.
Step 3 – records screened.
Step 4 – Full texts eligible.
Step 5 – studies included for synthesis
what is the interpretivism (subjective) of qualitative methods?
what is the positivism of qualitative methods - paradigms?
qualitative methods: phenomenology, what does it mean?
framing the question: what does FINER mean?
the finer criteria encapsulates what should be considered for your research question.
framing the question what does FINER stand for?
what does descriptive phenomenology mean?
no requirement to have prior knowledge of a situation
what does interpretive phenomenology mean?
can be based in existing knowledge of a situation
what does the qualitative method ethnography do
qualitative method ethnography is used to understand aspects of cultures and communities such as…
what does the qualitative method grounded theory
builds theory firmly grounded in the data through an iterative approach.
design - sampling: types and what the do
random isn’t used very often
- Quota sampling. A sample proportionate to the group required.
- Convenience sampling. A sample based on availability and willingness.
- Purposive Sampling. Chosen to suit the aims of the study.
- theoretical sampling: specific to grounded theory allows the sample to grow or be adjusted.
data collection: methods of collecting data?
design (validity)
about precision, avoiding bias in data collection such as power relationship between the researcher and the participant wording of interview questions
design (validity)
about the accuracy
- avoiding research bias
- reactivity and respondent bias
challenges of validity and reliability.