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RESEARCH GROUNDED THEORY

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SEMINAR
ON
GROUNDED THEORY
INTODUCTION
Grounded theory is the study of a
concept it is not descriptive study of a
descriptive problem
DEFINITION
A grounded theory design is a systematic qualitative
used to generate a theory that explains at a broad
conceptual level , a process an action or an interaction
about a substantive topic
-CRESWELL
DEVELOPMENT OF GROUNDED THEORY
Two sociologist BARNEYS.G and
A.NSELN.LSTRANUS developed grounded theory in
late 1960
University of California san Francisco
,medical center with patients who were terminally
ill-recorded and published their methods of
research.
WHEN DO YOU USE GROUNDED THEORY?
 When
you need a broad theory or
explanation
 Especially
helpful when current theories
about phenomena
 When
you whish to study some process such
as how student develop as writers.
METHODS

The basic idea of the grounded theory approach is to read
a textual database and discover or label variables
DATA COLLECTION:
Interview
Observation
Documents
Historical record
Videotapes
CONDUCTING A GROUNDED THEORY
STUDY
 Rather
than beginning by researcher and
developing a hypothesis the first step is
data collection ,through a variety of
methods
 From
this concept categories are formed
which are the creation of a theory
Decide if grounded theory design best addresses the
research problems,

Identify the process to study

Seek approval and access

Conduct theoretical sampling

Code the data

Use selective coding and develop the theory

Validate your theory
TYPES OF GROUNDED THEORY
There are three dominant design for grounded theory

Systematic design
Data analysis
Axial coding
Selective coding

Emerging design

constructivist approach
HOW DO YOU EVALUATE GROUNDED
THEORY RESEARCH
 When
evaluating the quality of a
grounded theory study.
 Ask about the process of research
ADVANTAGES

Researchers have to analyze the data early

It encourages systematic and detailed analysis of
the data

Researchers need evidence to back up their
claims

Constant interplay between data collection and
analysis
DISADVANTAGES
 First
time researchers can get overwhelmed
at the coding level
 Open
coding takes long time
 It
can be difficult to scale up to larger
concepts or theme
 Tends
to provide lower level theories only
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