lecture 3 Flashcards
Grounded theory
analysing qualitative data
- offers flexible set of inductive guidelines of collecting + analysing qualitative data
- creates codes by defining what you see in the data - not according preconcieved ideas - grounded in the data
- forming theory based on data not before collecting data
- aim is to generate theory appropriate to data and justified by close examination of data
key characteristics
systematics - process by which theory is generated through careful application of the general principles + methods of grounded theory
guidelines - guide data collection, analysis and theory generation
inductive not deductive
- focus on generating theories rather than confirming them
origins
Glaser + Strauss, 1967
- closing gap between theory and empirical research
- provide sound basis for thorough qual. research
- split in 1970s + developed divergent schools of thought
- lead to confusion around what GT producers and term are in lit.
Glaser
- completely empty mind
- less structural coding
- researcher passive
- anything can be used as data
Strauss
- general idea where to start
- more structured coding process
- researcher active
- only traditionally qualitative data
when to use
- generate theory
- understand social processes, experiences of phenomena
- little to no existing research on area
- any type of qualitative data e.g. media content, focus group, bio data
key features
theoretical sensitivity constant comparison theoretical sampling data saturation memo-writing stages of coding
theoretical sensitivity
- process of selecting incidents, time periods or people on the basis of their potential to manifestation or representation of imp.
constant comparison
code to code, case to case, situation, concept
finding questions to ask for comparison purposes
data saturation
researchers reach a point in analysis that theoretical sampling of more data will not lead to more data related to RQ
- see same codes, categories and themes in data
memo-writing
reflective memos during data collection guide theoretical sampling coding and theory generation start as soon as have interesting ideas objective is to improve theoretical sensitivity - evolve as analysis progresses conceptual not descriptive