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METODEPENELITIANKUALITATIF
GROUNDED
THEORY
GROUP 10
By
Armiya Nur Lailatul Izzah
WHAT IS
ANALYSIS?
examination of
to
Analysis is
anything
understand
a detailed
complex
its nature
in order
or to determine
its essential features : a thorough study
WHAT IS
QUALITATIVE
DATA?
Q ualitative data describes qualities or
using
characteristics. It is collected
questionnaires, interviews, or observation, and
frequently appears in narrative form.
Qualitative data is descriptive, expressed in
terms of feelings rather than numerical values.
Qualitative data analysis cannot be counted or
measured because it describes the data. It
refers to the words or labels used to describe
certain characteristics or traits.
What is qualitativa data
analysis ?
Qualitative Data Analysis (QDA) is the range of processes and procedures
whereby we move from the qualitative data that have been collected into some
form of explanation, understanding or interpretation of the people and
situations we are investigating.
Qualitative research is particularly good at answering the
‘why’,‘what’or ‘how’questions,such as:
Why are some students with disability not confident?
What are the students' perceptions of using ICT tools in Speaking
class?
How does the local language influence English pronunciation?
etc.
1.TRANSCRIPTION 2.ORGANISING YOUR DATA
STAGES IN
QUALITATIVE ANALYSIS
3.FAMILIARISATION
4.CODING 5.THEMES
GROUNDED THEORY
Thinking about and conceptualising
data. It is an approach to research
as a whole and as such can use a
range of different methods.
(mostly in social study)
FRAMEWORK ANALYSIS
Framework Analysis aims to
meet specific information needs and provide
outcomes or recommendations,
often within a short timescale.
(Mostly in health study)
APPROACHES IN QUALITATIVE
DATA ANALYSIS
GROUNDED THEORY FRAMEWORK ANALYSIS
open coding (initial familiarisation with
the data)
delineation of emergent concepts
conceptual coding (using emergent
concepts)
refinement of conceptual coding schemes
clustering of concepts to form analytical
categories
searching for core categories
core categories lead to identification of
core theory
testing of emerging theory by reference
to other research
Familiarization
Identifying a thematic framework
Indexing
Charting
Mapping and Interpretation
KEY STaGES
GROUNDED THEORY
consists of 'plausible relationships'(Strauss & Corbin, 1998) among
sets of concepts, which are directly developed from data analysis.
Theory provides a set of testable propositions that help us to
understand our social world more clearly, rather than an
absolute‘truths’.
the aim:theoretical development
focus:'analytic induction'
The appeal of grounded theory analysis is the structured and
detailed procedures for the generation of theory from data.
at the heart of grounded theory is the idea of the constant
comparative method
CONSTANT COMPARATIVE METHOD
a critical part of Glaser and Strauss'
(1967) treatise on Grounded Theory.
sort and organize excerpts of raw data
into groups according to attributes, and
organize those groups in a structured way
to formulate a new theory or develop it
develop concepts from the data by
coding and analyzing at the same time"
(Taylor & Bogdan, 1998)
Glaser (1965) suggests 4 stages for constant
comparison:
1)Comparing incidents applicable to
each category
2) Integrated categories and their properties
3) Delimiting the theory
4) Writing the theory
COMPARING N CODING
HOW DO YOUMAKE COMPARISONS?
CONTRADICTION
EXPANSION
SUPPORT
PROS
Avoids making assumptions and instead adopts a more
neutral view of human action in a social context.
(Simmons, DE (2006).
Provides a methodology to develop an understanding of
social phenomena that is not pre-formed or pre-
theoretically developed with existing theories and
paradigms." (Engward, H, 2013)
Particularly well suited for investigating social processes,
where the previous research is lacking in breadth and/or
depth, or where a new point of view on familiar topics
appears promising. (Milliken, P. 2010)
Can identify the situated nature of knowledge, as well as
the contingent nature of practice.
Produces a 'thick description that acknowledges areas of
conflict and contradiction
Better at determining what actually happens.
Adapts readily to studies of diverse phenomena
Can respond and change as conditions that affect behavior
change
CONS
Fails to recognize the embeddedness of
the researcher and thus obscures the
researcher's considerable agency in data
construction and interpretation. (Bryant
and Charmaz, 2007)
Tend to produce large amounts of data,
often difficult to manage
Researchers need to be skillful
There are no standard rules to follow for
the identification of categories
THANK YOU!
ANYQUESTION?

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Metopen Armiya.pptx

  • 2. WHAT IS ANALYSIS? examination of to Analysis is anything understand a detailed complex its nature in order or to determine its essential features : a thorough study WHAT IS QUALITATIVE DATA? Q ualitative data describes qualities or using characteristics. It is collected questionnaires, interviews, or observation, and frequently appears in narrative form. Qualitative data is descriptive, expressed in terms of feelings rather than numerical values. Qualitative data analysis cannot be counted or measured because it describes the data. It refers to the words or labels used to describe certain characteristics or traits.
  • 3. What is qualitativa data analysis ? Qualitative Data Analysis (QDA) is the range of processes and procedures whereby we move from the qualitative data that have been collected into some form of explanation, understanding or interpretation of the people and situations we are investigating. Qualitative research is particularly good at answering the ‘why’,‘what’or ‘how’questions,such as: Why are some students with disability not confident? What are the students' perceptions of using ICT tools in Speaking class? How does the local language influence English pronunciation? etc.
  • 4. 1.TRANSCRIPTION 2.ORGANISING YOUR DATA STAGES IN QUALITATIVE ANALYSIS 3.FAMILIARISATION 4.CODING 5.THEMES
  • 5. GROUNDED THEORY Thinking about and conceptualising data. It is an approach to research as a whole and as such can use a range of different methods. (mostly in social study) FRAMEWORK ANALYSIS Framework Analysis aims to meet specific information needs and provide outcomes or recommendations, often within a short timescale. (Mostly in health study) APPROACHES IN QUALITATIVE DATA ANALYSIS
  • 6. GROUNDED THEORY FRAMEWORK ANALYSIS open coding (initial familiarisation with the data) delineation of emergent concepts conceptual coding (using emergent concepts) refinement of conceptual coding schemes clustering of concepts to form analytical categories searching for core categories core categories lead to identification of core theory testing of emerging theory by reference to other research Familiarization Identifying a thematic framework Indexing Charting Mapping and Interpretation KEY STaGES
  • 7. GROUNDED THEORY consists of 'plausible relationships'(Strauss & Corbin, 1998) among sets of concepts, which are directly developed from data analysis. Theory provides a set of testable propositions that help us to understand our social world more clearly, rather than an absolute‘truths’. the aim:theoretical development focus:'analytic induction' The appeal of grounded theory analysis is the structured and detailed procedures for the generation of theory from data. at the heart of grounded theory is the idea of the constant comparative method
  • 8. CONSTANT COMPARATIVE METHOD a critical part of Glaser and Strauss' (1967) treatise on Grounded Theory. sort and organize excerpts of raw data into groups according to attributes, and organize those groups in a structured way to formulate a new theory or develop it develop concepts from the data by coding and analyzing at the same time" (Taylor & Bogdan, 1998) Glaser (1965) suggests 4 stages for constant comparison: 1)Comparing incidents applicable to each category 2) Integrated categories and their properties 3) Delimiting the theory 4) Writing the theory
  • 10. HOW DO YOUMAKE COMPARISONS? CONTRADICTION EXPANSION SUPPORT
  • 11. PROS Avoids making assumptions and instead adopts a more neutral view of human action in a social context. (Simmons, DE (2006). Provides a methodology to develop an understanding of social phenomena that is not pre-formed or pre- theoretically developed with existing theories and paradigms." (Engward, H, 2013) Particularly well suited for investigating social processes, where the previous research is lacking in breadth and/or depth, or where a new point of view on familiar topics appears promising. (Milliken, P. 2010) Can identify the situated nature of knowledge, as well as the contingent nature of practice. Produces a 'thick description that acknowledges areas of conflict and contradiction Better at determining what actually happens. Adapts readily to studies of diverse phenomena Can respond and change as conditions that affect behavior change CONS Fails to recognize the embeddedness of the researcher and thus obscures the researcher's considerable agency in data construction and interpretation. (Bryant and Charmaz, 2007) Tend to produce large amounts of data, often difficult to manage Researchers need to be skillful There are no standard rules to follow for the identification of categories