Flashcards
Topic 5
Cards in this deck (13)
- 1types of qualitative analysis methodscontent analysis, thematic analysis, and framework analysis are the most commonly used in health-related research
- 2Content Analysis- applied to contents of documents and other written forms of communications to identify concepts and categories, taking into consideration the frequency with which they appear. Researcher must decide whether to focus on manifest or latent content, the difference between these is the amount of abstraction or interpretation given to the data. Manifest deals with visible and obvious components, while latent content involves interpretation of underlying components
- 3unit of analysis in content analysisThe researcher must also select the unit of analysis - a meaning unit
- a meaning unit/content unit/coding unit is words or statements that relate to the same central meaning. Once identified, they are condensed into codes
- after understanding common codes, the researcher groups codes into categories
- categories often contain sub categories and are often described by themes
- a theme answers the question 'how' and describes an aspect of the experience - 4thematic analysisExtract key experiences, opinions, and perspectives from interviews to address our qualitative aim and research question. There are 6 phases:
1. familiarise yourself with the data
2. generate initial codes
3. compare codes as a group to find common themes relevant to the qualitative aim and research question
Steps 4-5 are to review potential themes, and choose 3-4 of the strongest. Each theme should have 3-4 subthemes.
6. is to write the report - 5framework analysis- for use in large scale policy research. In health care often used to inform policies or practices, answering pre-determined questions and time frames set by a funding body
- findings often need to be compared with quantitative data in a mixed methods study
- classify and organise data according to key themes, concepts, and emergent categories
- flexible but systematic, following 7 key stages - 67 key stages of framework analysis1. transcription
2. familiarisation with interview
3. coding: apply a code that describes what they have interpreted as important
4. developing a working analytical framework: codes are grouped into categories which form a working analytical framework
5. applying the analytical framework: by indexing subsequent transcripts using the codes and categoreis from stages 3 and 4
6. charting data into the framework matrix: manage and summarise data, can use a spreadsheet to chart data into framework matrix
7. interpreting the data: findings can predict how clinicians can instigate or respond to a situation of identify areas that are not functioning well within an intervention, organisation, or system - 7factors to consider for ensuring rigour/credibility of research1. truth value
2. consistency
3. applicability
4. confirmability - 8truth valueoutline personal experiences and viewpoints that may result in bias
- 9consistencymethods should be clear and transparent. An independent researcher should be able to arrive at similar or comparable findings
- 10applicabilityconsideration to whether findings can be applied in other contexts, settings, or groups
- 11confirmabilityachieved when truth value, consistency, and applicability have been addressed
- 1210 methodological strategies to ensure trustworthiness of findings1. account for personal biases
2. acknowledge biases in sampling
3. critical reflection of methods
4. keep track of decision trail to ensure interpretations of data are consistent and transparent
5. compare cases and seek similarities and differences across participants to ensure different perspectives are represented
6. include rich, verbatim descriptions of participants to support findings
7. demonstrate clarity in terms of thought processes during data analysis and interpretations
8. engage with other researchers to reduce bias, although believe bias is always present
9. invite participants to comment on interview transcript or final themes to make sure they accurately reflect the phenomena being investigated
10. Use data triangulation to produce a more comprehensive set of findings - 137 questions when assessing rigour1. how were themes, concepts, and categories generated from data?
2. was analysis computer assisted?
3. who was involved in the analysis and in what manner
4. what steps were taken to guard against selectivity of data presented?
5. are the data triangulated with information from other sources?
6. if more than one person was involved in the analysis, how was consistency achieved?
7. have researchers examined their own role or any possible biases that could have influenced the research?
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- HRSS3101 Flashcards on Topic 5, created by Soph B on 23/06/2020.
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- Soph B
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