Qualitative methods Flashcards
what are the 3 assumptions underlying research
ontology
epistemology
methodology
what is ontology
reality
reality and meaning are constructed through personal experience and interpretation
what is epistemology
knowledge
knowledge is multiple and selective
what is methodology
how can we observe and capture reality and create new knowledge
what 4 things can qualitative research examine
meaning
personal experience
social interaction
language
what 4 things can quantitative research examine
examine cause/effect relationships
produce replicable, generalisation data
measure change
isolate variables
3 things about hypotheses
informed by previous empirical research
specific-predictions about correlations
includes specific populations and variables
3 things about research questions
may be used for exploratory research
does not predict the outcome of the research
includes specific populations and contexts
what does CASP stand for
critical
assessment
skills
programme
what is CASP
a quality criteria designed to be used when reading research
name 4 things in CASP
clear statement of aims
appropriate methodology
appropriate research design
data analysis
what is thematic analysis
a method of identifying and analysing patterns in qualitative data that is theoretically flexible…a method rather than a methodology
what 4 things can thematic analysis be
inductive
deductive
semantic
latent
what does inductive mean
coding/themes based on and led by the data
what does deductive mean
coding/themes based on existing concepts or ideas
what does semantic mean
coding/themes reflect apparent or explicit content of the data
what does latent mean
coding/themes report underlying or implicit assumptions
thematic analysis can be used for what 3 things
experiences
peoples interaction/understanding of those experiences
how people talk and feel about a range of phenomena in a range of situations
what 4 types of data can thematic analysis be used with
interview transcripts
written accounts of experiences
media
large/small data sets
what are the 6 phases of thematic analysis
familiarisation of the data coding searching for themes reviewing themes defining and naming themes writing up
familiarisation of the data
researcher must read and re-read their data
get a broad ‘shape’ of the data, what’s the content and what scope does it cover
coding
generate descriptive labels for important features of the data and link to broader research questions
searching for themes
search for coherent and meaningful patterns that relate to the research question
all codes relevant to each theme are grouped together
reviewing themes
themes should be reviewed and asked…
1) do they capture what is in the data
2) how do they relate to each other and the ‘overall’ story of the data
3) is each theme distinct, or can they be collapsed together
defining and naming themes
each theme should tell a story
name of the themes should be concise, precise, informative and convey the content of the theme
writing up
theme titles may change during this
include extracts
relate to existing literature
