Data-Oriented Methods: Grounded Theory (GT) (Systematic generation of…
Data-Oriented Methods: Grounded Theory (GT)
Most widely used qualitative interpretative framework in social sciences :
symbolic interactionism (SI)
, but also on
statistical positivism (SP)
Pragmatism: Should be useful for society, "anti-theoretical"
: Revision during research
: Open for new perspectives and ideas
self* is in constant change, a social engine on its own. Ideas are part of self.
Closeness to empirical material and successive induction
SP: A 'dataistic' conception
Glaser and Strauss
Research should be usable and understood even by actors.
Limits high level theory building
Not all research is immediately usable, but maybe later
Is knowledge not valuable on its own? I.e. knowing more about the creation of the universe
Systematic generation of theory on systematically obtained data. Exploratory, used both on qualitative and quantitative data
(Walsh et. al., 2015)
not as important as generation of theory
of theory instead of Verification, to see when theory is valid, and modify theory when necessary
From data to theory, through
. Categories similar to
is a must in GT. And a thorough piece of work.
? Glaser and Strauss argue less creativity and inspiration is needed, as results emerge on their own from the tedious work
Risk of losing sight of relations as incidents are put into categories and compared within those categories
Anyone could participate in generation of theory as long as based on data. Not only leaning on big masters' ideas
theory derived from data, ergo inductive method
Reading too much or too little on a topic can be problematic for own research, p. 75
Risk: Creating the same theory over and over
Offer no clear definition of what data is. Use words such as
, but inconsistent in practice
Introduces library research as source of data
Theory is made from taking memos during research process, exploring a *core category, and/or creating diagrams
On two levels: Substantive and formal (two stages of generality).
: Artificial!, e.g. study on care unit vs social services in general
Focus on local conditions, not "grand theory"
Uncritical attitude towards intertextual influence from other theories
Belief in objective data
Emphasis on symbolic meaning in social interactions
Focus on actors perspective
Risk of just stating the obvious in reducing research to common sense knowledge