STEPS IN QUALITATIVE DATA ANALYSIS

1. DATA ANALYSIS
IN QUALITATIVE
RESEARCH
ALI DJAMHURI

2. THREE ANALYSIS STRATEGIES
 Preparing and organizing the data for
analysis
 Reducing the data into Themes through
process of coding and condensing the codes
 Alternative example or as supplementary steps
are:
 Writing marginal notes,
 Drafting summaries of fieldnotes
 Noting relationship among the categories as well as
toward theoretical point of view
 Representing the data in figures, tables,
and / or discusson (narration)

3. GENERALDATA ANALYSIS BY AUTHORS
Analysis
Strategy
Madison (2005) Huberman &
Miles(1994)
Wolcott
(1994b)
Sketching ideas Write Margin
notes in
fieldnotes
Highlight
certain
information in
description
Taking Notes Writing
Reflective
passage in Notes
Summarizing
Fieldnotes
Draft summary
sheet on
fieldnotes
Woirking with
words
Make metaphors
Identifying
Codes
Do abstract
coding or
concrete coding
Write code
memos

4. GENERALDATA ANALYSIS BY
AUTHORS (CONTINUED)
Analysis Strategy Madison (2005) Huberman &
Miles(1994)
Wolcott (1994b)
Reducing codes
to themes
Identify salient
themes or
patterns
Note patterns
and themes
Identify
patterned
regularities
Counting
frequency of
codes
Count
frequency of
codes
Relating
categories
Factor, Note
relations among
variables, build a
logical chain of
evidence
Realting
categories to
analytic
framework in
literatures
Contextualize in
framework from
literature

5. GENERALDATA ANALYSIS BY
AUTHORS (CONTINUED - 1)
Analysis Strategy Madison (2005) Huberman &
Miles(1994)
Wolcott (1994b)
Creating Points of
view
For scenes,
audieence, and
readers
Displaying the
Data
Create a graph or
pictureof the
framework
Make contrast
and comparison
Display findings
in tables, charts,
diagrams, and
figures, compare
cases,compare
with standards
(criteria or
theories)

6. Representing
Visualizing
Describing,
Classifiying,
Interpreting
Reading,
Memoing
Data Managing
Matrix, Trees,
Propositions
Context,
Categories,
Comparisons
Reflecting,
Writing notes
across questions
Files,
Units,
Organizing
Procedures
Examples
Accounts
Data Collection
DATA ANALYSIS SPIRAL (CRESWELL, 2007)

7. DATA ANALYSIS IN CASE STUDY
 Direct
Interpretaation
 Looking at Single
instance and drawing
the meanings from it
without looking for
multiple instances
 Looking patterns and
correspondences
 Getting similarities
and differences from
data
 Categorical
Aggregation
 Seeking a collection
of instances from
the data and trying
to get relevant
issuess that may
emerge the
meanings