Jul 16, 2015
Presented By
Maryam Pervaiz
MS Education, 2nd
Semester
Research is a systematized effort to gain new facts.”(Kumar yougesh, 2006).
Searching again and again
Published in 1967 by Glaser and Strauss
Study of concept
Systematic procedure
Develop higher level understanding that is “grounded” in
Aims to explain a process, not to test existing theory
Specific not generalize
Use multiple coding
Building theory from data
When you need explanation of a process
When current theories about a phenomena are either inadequate or non existent
When you wish to study some process such as how students developed as a writer
Contextualized social processes.
Produce theories that are truly grounded in the data
Grounded theory is what is, not what should
Aims to produce is knowledge of processes that reside in the data
Interested in the ways in which human actors negotiate social situations
‘The world’ that is studied by grounded theorists is very much a product of human contribution and compromise.
This is what grounded theory attempts to do by focusing on ‘process’ and ‘change
Researcher acts as a witness (observes carefully)
Not to import his or her own assumptions
Aim is to develop theories that do not move beyond the data
Interview
Historical records
Video tapes
Documents
Observations
The key points are marked with a series of code
Codes are grouped into similar concepts
From these concepts categories are formed
These categories are the basis of creating of a new theory
Open coding
Constant comparison
Axial Coding
Memoing
Theoretical sampling
Selective coding
Theoretical coding
Whether grounded theory design is best suited for the study
Reviewing existing literature
Identifying crucial research questions
Cases are selected through theoretical sampling
Collects the data
Identifying concepts through data collection
Make categories and sub categories
Develop visual model
Writes a story line connecting categories
Final result of data collection is theory
Emergent theory is now compared with literature
This theory may be tested later for empirical verification using quantitative research
It is inductive, contextual and process based in nature
The probability of measurement error is reduced since its starts at the empirical level and ends at conceptual level.
Emphasis on empirically derived concepts which makes it difficult to use abstract concepts and thus limits theorizing to a certain extent
Data are collected from a specific location, genralisability to another place is difficult.
Risk of finding something that is not new
Time consuming
Conclusion