qualitative research methods Flashcards
research
systematic gathering presenting and analysing of data
collection of data, documentation of critical info and analysing and interpretation in accordance with suitable methods
purpose of research
information
facilitating change
ethical issues
academic mission
paradigms
set of commonly held beliefs and assumptions within a research community
ontology
ideas about what is real
philosophy of knowledge
epistemology
how we know thing
philosophical study of how knowledge is acquired
deductive
quantitative testing theory
inductive
qualitative builds theory
constructivism
reflects the social sciences and is interested in ways people akee sense of the world
ontological position
relativism
shaped in ways that make reality fluid
epistemological position
constructivism
world doesn’t exist independently of our knowledge
purpose of qualitative research
not seek to test a hypothesis but guided by research questions
what must you consider before using qualitative methods
type of data
type of ppts
will data contribute to different perspectives
logistical issues
interviews
conversation with a purpose
semi and unstructured
interviews positives
discovers how individuals think and feel
why people hold opinions
explores experiences
confidential conversations
semi structured interviews
schedule
flexibility
greater standardisation
more control
focus groups
group interviews
semi structured
questions around core aim
room for creativity
who are focus groups good for
children
under research areas
reveal group dynamics through verbal communication and body language
purposive sampling
research attempts to recruit
theoretical sampling
theoretically meaningful sample to test a theory
inclusion criteria
chooses individuals who believe will provide info rich cases
criterion based sampling
pre determined criteria
snowball sampling
ppts direct researcher to others
total pop sampling
everyone who’s involved
thematic analysis
organises and describes the data set meaningfully in relation to the research question
identifying and analysing patterns
what’s TA used for
understand a pre determined idea
develop new ideas
explore patterns
B&C model
familiarisation with the data
generating initial codes
searching themes
review themes
define and name themes
writing report
sparkes and smith TA
immersion in data
generation of initial codes
identify running themes and sort them
review themes
transcription
converting speech into text for analysis
what should transcription be
verbatim
accurate
true representation
analysis stages
transcription
coding data
identify themes
reviewing and labelling
interpreting and writing up
coding data
systematically identify patterns in data and reducing into chunks
coding and code
pull apart data
description attached to a piece of data
8 big tent criteria
worthy topic
rich rigor - sufficient theoretical constructs
sincerity - self reflexivity
credibility - concrete detail
resonance - resonates with particular readers through generalisation
significant contribution
ethical
meaningful coherence - achieves what its meant to
