Intro to Qualitative Research Flashcards
1
Q
What can we gain ?
A
- Recurrent themes
- Hypothesis generation
- survey components
- Classification systems
- Theoretical frameworks
2
Q
Philosophical foundations in research
A
ontology -> epistemology -> methodology -> methods -> sources
- Hay 2002
- , ontology + epistemology combined is a paradigm ( holistic view)
3
Q
Ontology
A
- Nature of reality
- What exists
- views of reality
- What’s out there to know
- multiple perspectives on what is reality
4
Q
Epistemology
A
- Theory of knowledge
- HOW can we study the world
- what do you know + how can you know it
- multiple perspectives on how we generate knowledge
5
Q
Research paradigms
A
- positivism = one reality we measure objectively
- critical realism = one reality we know through interactions
- Constructivism = multiple realities that need interpreting
- pragmatism = Whatever works
6
Q
Collecting Qualitative Data- Interviews
A
- structured, semi + unstructured
- Semi: most common + most practical
- emphasis on same meaning
7
Q
collecting Qualitative Data- Focus Groups
A
- group interview that uses interactions as data
- ppts can respond to + comment on each others constributions
8
Q
collecting Qualitative nata- observations
A
- covert Vs overt
- ppt Vs non-ppt
9
Q
Existing Data
A
- Data in public domain: news articles, media broadcasts, social media posts
- Archival data: diaries, letters , newspapers
10
Q
Reflexivity
A
- Aim for objectivity but researchers are sceptical g this
- we all have different views but need to observe facts objectively
11
Q
Non-Text methods of analysis
A
- Repertory grids
- Q-methodology
- microanalysis of audio/video
- method pluralistics
12
Q
Text based methods of analysis
A
- Thematic analysis
- Interpretive phenomenological Analysis (IPA)
- Discourse analysis (DA)
- content analysis
- grounded theory
13
Q
content Analysis
A
- Highly flexible
- Focuses on identifying frequency of themes, words + concepts
- conceptual analysis = looks for existence + frequency of concepts /themes
- Relational analysis = examines relationship between themes
14
Q
content Analysis stages
A
- Prepare - dev aims
- familarise yourself with data
- Break text up + condense
- Apply initial codes
- Identify themes
- Adjust codes where needed
- create codebook
15
Q
evaluating content analysis
A
- Highly flexible + adaptable
- systematic analysis
- Time consuming
- can’t draw cause + effect conclusions
- coding is subjective to researcher
16
Q
A