Qualitative data analysis Flashcards
Inductive
Bottom up approach
No predetermined theory that uses the data to derive the structure of the analysis and generate general themes
Deductive
Top down approach
Uses a predetermined framework to analyse the data and draw specific conclusions
Most common style of analysis
Fracturing into codes, grouping and gluing/labelling into categories (schema)
Coding
Applying codes to qualitative data to define them during analysis
* Descriptive/open: initial to sort the data
* Focussed: working with the data to start making sense
* Axial/interpretive: reorganisation
* Selective: identifying themes/concepts
Thematic analysis
Inductive, identifies themes from data (e.g. exploring barriers in health care)
* Transcribe the data, code/reduce, look for themes, reorganise, define themes and interpret data
Content analysis
Deductive, codes identified before searching through data, then categories are explored statistically
* Used to explore large texts to determine trends/frequency, for newspapers, magazines etc
Framework analysis
Similar to thematic initially, but involved inductive and deductive approaches by running collection and analysis in tandem (provides transparency)
* Commonly used in health care for policy development (less concerned with themes)
* Go through data, identify themes, apply back to transcrip and redefine, summary and map
Recursive abstraction
Repeatedly summarising text (e.g. interviews) without coding
Data saturation
When more information doesnt offer additional understanding (justifies the number of participants)
Errors in data analysis
- Making conclusions too early
- Over coding too early
- Halo effect: tendency to give more attention to views expressed by high status informants
Computer assisted qualitative data analysis software (CAQDAS)
Package used to facilitate analysis
Grounded theory
Inductive method to understand real world phenomena (theory is grounded in the data)
