Week 7 Lecture: Qualitative Data Analysis Flashcards
Theoretical frameworks
=, –>,1
= what underpins how you see world –> influences data collection and analysis
- all research is bound by theoretical framework –> bias
Theoretical Sampling
=, 2
= analysing in terms of patterns of response, iterative and simultaneous data collection and analysis
- Induction = idea –> proposition –> works/not to explain event, strategy, action, relationship
- Deduction + verification = testing propositions, finding accounts/data that support/contradict understandings of data
First stage of analysis
=
= asking the question (analyse what is important enough to ask about)
Interactive Process of Data Analysis
8
- Data collection
- data display
- reflection on data
- data coding
- data distillation (reduction)
- generation of themes
- story interpretation
- research conclusions
all interact, go between them etc.
Qualitative units of analysis
7
- meanings
- practices
- encounters
- narrative structures
- organisations
- lifestyles
- utterances (words, phrases etc.)
CAQDAS
=, 4
= Computer Assisted Qualitative Data Analysis Software
- enter transcripts –> create categories –> organise
- does data management not analysis
- use when lots of data
- lose interview narrative and focus of participant
Visually displaying qualitative findings
5
- comparison table/matrix
- hierarchical tree diagram (themes and connections): trunk is key code, branches subcodes
- e.g. code is ethnicity in …., subcodes = ethnic groupings
- boxes (connections between themes)
- physical layout of setting
- personal or demographic info for each person or site
Modes of Qualitative Data Analysis
4
- content analysis = search for a priori categories, focus on frequency and researchers’ categories
- thematic analysis = identifies emergent categories via themes, privileges authoria; view of category importance
- semiotic analysis = interpretation of language through examination of explicit and implicit messages
- discourse analysis = interpretation of entire systems of communication
Content analysis
=
= search for a priori categories, focus on frequency and researchers’ categories
Thematic analysis/Grounded theory
=, 3, 2, ()()
= identifies emergent categories via themes (create categories based on what ppl say)
- privileges authorial view of category importance
- develop theories grounded in data
- Strategies: theoretical sampling, constant comparison
(Glaser and Strauss, 1968) (Strauss and Corbin, 1990)
Open Coding
=
= through reading entire transcript, identifying, naming, categorising (mutually exclusive) and describing concepts and patterns
“in vivo” coding
=, 1
= use respondents words as concept/code (emic perspective)
- preferred
Steps of Coding Data in Thematic analysis/Grounded theory
5
- Open coding
- Clustering
- Axial coding
- Selective coding
- Saturation
Clustering
=
= cluster similar codes and exclude redundant codes to reduce number while maintaining meaning
Axial coding
=, 2
= identify themes by finding categories that cut across data sets
- connect categories and sub categories to put data back together
- split or merge categories
Selective coding
=
= unifying codes around a core concept/overarching theme to answer question/develeop theory