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MPU 1024
Qualitative Research
Sampling & Data Analysis
Who will be studied? Purposeful
Sampling
Random “Quantitative” Sampling
Select Representative individuals
To generalize from sample to population
To make claims about the population
To build/test “theories” that explain the population
Purposeful “Qualitative” Sampling
Select people/sites who can best help us understand our
phenomenon
To develop detailed understanding
That might be “useful”: information
That might help people “learn” about the phenomenon
That might give voice to “silenced” people
Types of purposeful sampling
When Does Sampling Occur?
Before Data Collection After Data Collection
has startedWhat is the intent?
To develop
many
perspectives
Extreme
Case
Sampling
To describe
particularly
troublesome
or enlightening
cases
Typical
Sampling
To describe what
is “typical” to
those unfamiliar
with the case
What is the intent?
To take advantage
of whatever case
unfolds
Opportunistic
Sampling
To locate
people or
sites to study
Snowball
Sampling
To explore
confirming or
disconfirming
cases
Confirming/
Disconfirming
Sampling
Maximal
Variation
Sampling
To generate a theory
or concept
Theory or Concept
Sampling
To describe some
sub-group in depth
Homogenous
Sampling
To describe a
case that
illustrates
“dramatically”
the situation
Theory or Concept
Sampling
Sample size?
Small for in-depth perspective
â—¦ 1 individual / one school
â—¦ 4 cases
â—¦ 20-30 interviews
Qualitative Data Analysis
ď‚— Prepare and organize the data for
analysis
ď‚— Explore and code the data
ď‚— Develop description and themes from
the data
ď‚— Represent and report the findings
ď‚— Interpret the findings
ď‚— Validate the accuracy and credibility of
the findings
What is the Process of Data
Analysis?
Codes the Text for
Description to be Used
in the Research Report
Codes the Text for
Themes to be Used
in the Research Report
The Researcher Codes the Data (i.e., locates text
segments and assigns a code to label them)
The Researcher Prepares Data for analysis
( e.g., transcribes fieldnotes)
The Researcher Collects Data (i.e., a text file, such as
fieldnotes, transcriptions, optically scanned material)
The Researcher Reads Through Data
( i.e., obtains general sense of material)
SimultaneousInteractive
How do You Prepare and Organize the
Data?
ď‚— Develop a matrix or table of sources
that can be used to organize the
material
ď‚— Organize material by type
ď‚— Keep duplicate copies of materials
ď‚— Transcribe data
ď‚— Prepare data for hand or computer
analysis (and select computer
program)
How do you Explore and Code the
Data?
ď‚— Obtain a general sense of the data by
performing a preliminary exploratory
analysis
ď‚— Memo ideas
ď‚— Consider whether more data are
needed
ď‚— Coding the data
Steps in Coding
ď‚— Read through all transcripts
ď‚— Start with one transcript
 Identify text segments – ask “what is this
person saying?”
ď‚— Bracket text segment
ď‚— Assign code word
ď‚— Reduce redundancy
ď‚— Collapse codes into themes
A Visual Model of the Coding Process
in Qualitative Research
Reduce Codes to
5-7 Themes
Initially read
through data
Divide text
into segments
of information
Label
segments of
information
with codes
Reduce
Overlap and
redundancy
of codes
Collapse
codes into
themes
Many
Pages
of Text
Many
Segments
of Text
30-40
codes
Codes
reduced
to 20
How do You Use Codes to Identify
Themes?
ď‚— Ordinary themes
ď‚— Unexpected themes
ď‚— Social science themes
ď‚— Layering and connecting themes
How do You Report Findings?
ď‚— Multiple perspectives for each theme
ď‚— Metaphors and analogies
ď‚— Quotes
ď‚— Detail
ď‚— Tensions and contradictions
How do You Interpret
Findings?
ď‚— Interpretation is not neutral
ď‚— Reflect about the personal meaning of
the data
ď‚— Compare and contrast personal
viewpoints with the literature
ď‚— Address limitations of the study
ď‚— Make suggestions for future research
How do You Validate the
Accuracy of Your Findings?
ď‚— Member checking: Members check
the accuracy of the account
ď‚— Triangulation: Using corroborating
evidence
ď‚— External: Hiring the services of an
individual outside the study to review
the study

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Mpu1024 week13 analysis dR BAMBANAG SUMINTONO- by abdul murad abd hamid

  • 2. Who will be studied? Purposeful Sampling Random “Quantitative” Sampling Select Representative individuals To generalize from sample to population To make claims about the population To build/test “theories” that explain the population Purposeful “Qualitative” Sampling Select people/sites who can best help us understand our phenomenon To develop detailed understanding That might be “useful”: information That might help people “learn” about the phenomenon That might give voice to “silenced” people
  • 3. Types of purposeful sampling When Does Sampling Occur? Before Data Collection After Data Collection has startedWhat is the intent? To develop many perspectives Extreme Case Sampling To describe particularly troublesome or enlightening cases Typical Sampling To describe what is “typical” to those unfamiliar with the case What is the intent? To take advantage of whatever case unfolds Opportunistic Sampling To locate people or sites to study Snowball Sampling To explore confirming or disconfirming cases Confirming/ Disconfirming Sampling Maximal Variation Sampling To generate a theory or concept Theory or Concept Sampling To describe some sub-group in depth Homogenous Sampling To describe a case that illustrates “dramatically” the situation Theory or Concept Sampling
  • 4. Sample size? Small for in-depth perspective â—¦ 1 individual / one school â—¦ 4 cases â—¦ 20-30 interviews
  • 5. Qualitative Data Analysis ď‚— Prepare and organize the data for analysis ď‚— Explore and code the data ď‚— Develop description and themes from the data ď‚— Represent and report the findings ď‚— Interpret the findings ď‚— Validate the accuracy and credibility of the findings
  • 6. What is the Process of Data Analysis? Codes the Text for Description to be Used in the Research Report Codes the Text for Themes to be Used in the Research Report The Researcher Codes the Data (i.e., locates text segments and assigns a code to label them) The Researcher Prepares Data for analysis ( e.g., transcribes fieldnotes) The Researcher Collects Data (i.e., a text file, such as fieldnotes, transcriptions, optically scanned material) The Researcher Reads Through Data ( i.e., obtains general sense of material) SimultaneousInteractive
  • 7. How do You Prepare and Organize the Data? ď‚— Develop a matrix or table of sources that can be used to organize the material ď‚— Organize material by type ď‚— Keep duplicate copies of materials ď‚— Transcribe data ď‚— Prepare data for hand or computer analysis (and select computer program)
  • 8. How do you Explore and Code the Data? ď‚— Obtain a general sense of the data by performing a preliminary exploratory analysis ď‚— Memo ideas ď‚— Consider whether more data are needed ď‚— Coding the data
  • 9. Steps in Coding ď‚— Read through all transcripts ď‚— Start with one transcript ď‚— Identify text segments – ask “what is this person saying?” ď‚— Bracket text segment ď‚— Assign code word ď‚— Reduce redundancy ď‚— Collapse codes into themes
  • 10. A Visual Model of the Coding Process in Qualitative Research Reduce Codes to 5-7 Themes Initially read through data Divide text into segments of information Label segments of information with codes Reduce Overlap and redundancy of codes Collapse codes into themes Many Pages of Text Many Segments of Text 30-40 codes Codes reduced to 20
  • 11. How do You Use Codes to Identify Themes? ď‚— Ordinary themes ď‚— Unexpected themes ď‚— Social science themes ď‚— Layering and connecting themes
  • 12. How do You Report Findings? ď‚— Multiple perspectives for each theme ď‚— Metaphors and analogies ď‚— Quotes ď‚— Detail ď‚— Tensions and contradictions
  • 13. How do You Interpret Findings? ď‚— Interpretation is not neutral ď‚— Reflect about the personal meaning of the data ď‚— Compare and contrast personal viewpoints with the literature ď‚— Address limitations of the study ď‚— Make suggestions for future research
  • 14. How do You Validate the Accuracy of Your Findings? ď‚— Member checking: Members check the accuracy of the account ď‚— Triangulation: Using corroborating evidence ď‚— External: Hiring the services of an individual outside the study to review the study