20 - Qualitative Research Flashcards
Describe qualitative research
Interpretivism
• Researcher and social worldinteract
• Characterised by interpretivist theory of knowledge
• Facts and values not distinct
• Affected by researcher values and perspectives
• Not possible to do objective, value-free research
Describe quantitative research
Positivism
• World unaffected by the researcher
• Facts and values distinct, possible to do objective, value-free research that is generalizable
• Natural science method (hypothesis testing, causal explanations appropriate to understand social phenomena)
When do people use qualitative research?
- When there is not much to go on
- When you want a particular perspective on the topic
- When you want to explain quantitative results
What are some features of qualitative research?
- Uses INDUCTIVE reasoning
- Has high VALIDITY
- Has low RELIABILITY
What are the different types of sampling that can be used in qualitative research?
Purposive:
- Participants recruited according to pre-selected criteria relevant to research question
- Participants have the required experience or knowledge that researchers seek
Convenience:
- Participation invited because individuals are conveniently (opportunistically) available- access, location, time and willingness
Theoretical:
- Used in grounded theory studies
- Research starts from homogenous (small) and moves to a more heterogeneous (larger) sample
- Occurs sequentially and alongside data analysis
Snowballing:
- Recruiting one or a few people and then relying on these people to put the researcher in touch with others.
- Useful where the sample are marginalised/stigmatised individuals and to find and recruit ‘hidden populations’
How is qualitative research data analysed?
- Data usually presented in written form (observations, transcribed audio-taped interviews)
- Data is transcribed, coded, categorised
Present themes/patterns from data - Concept of ‘saturation’ of data
Phase of analysis in which the researcher has continued sampling and analysing data until no new data/themes appear
What are the problems with qualitative research?
Ensuring rigour
- Use appropriate methods to maximise validity and reliability
Results may be influenced by personal bias & idiosyncrasies
Generalising beyond the sample
Time consuming
How to improve rigour in sampling?
Purposive sampling to maximise likelihood of capturing all views
- Recruit a range of participants for key variables likely to influence views
- Practical considerations also important (e.g. snowball sampling for ‘hidden’ populations)
New variables may emerge in analyses and prompt additional sampling of different groups
Sampling continues until no new themes are identified in three consecutive interviews- ‘saturation’
How to improve rigour in data collection?
- Interview / focus groups: Audio or video-recorded. Transcribed in full
- Participant confidentiality assured
Interviewer:
- Suitably trained in qualitative methods
- Accepted by participants as trustworthy
- Familiar with the context
What is reflexivity?
awareness of the way own beliefs/attitudes affect the research process and outcomes
How to improve rigour in data analysis?
- Agreement between the researchers on the categorisation of data can be calculated
- Map the relationships between themes to explain findings
- Make sure the themes/concepts are supported by the data rather than based on your assumptions
How to improve rigour in data coding?
- Development and application of coding frame (with themes/concepts) can improve rigour
- Immersion in the data (e.g. read transcripts multiple times)
- Multiple researchers should code some of the same transcripts and compare results to improve the coding frame
- Apply final coding frame systematically to all the data by annotating the transcripts with codes
How to improve rigour in validity checking?
Triangulation
- Compare same issue from different sources, methods, points (e.g. researcher notes, interview transcripts, audio-tapes)
Provide evidence for themes/concepts
- Use participants’ own language to demonstrate the source of the theme or concept (e.g. illustrative quotes)
Participant feedback/validation/verification
- Member checking
- Ask participants to review your interpretation of their data
List some common qualitative approaches
Grounded theory
Interpretive Phenomological Analysis
Ethnography
Describe Grounded theory as a qualitative approach to health research
- Strong tradition grounded theory in health research
- Aims; To collect and analyse qualitative data to
Describe components of a phenomenon
The relationships between them
Generate a theory of the phenomena that is ‘grounded’ in the data - Methods; Complex iterative process, no distinct end point
Coding: identifying/describing codes, relating codes to one another
Memoing: recording thoughts/ideas as they evolve
Diagrams: make sense of the data with respect to the emerging theory